With a rare dual remit spanning Global and US, you will integrate inputs from US operations, global functions, and regional/marketing company teams into a unified, authoritative single source of truth. As a trusted partner to senior executives, you will anticipate needs, orchestrate integrated insights, analytics, and forecasting, and turn complexity into clarity that guides therapy-area strategies and enterprise-wide decisions.

Leading from the front, you will build future-ready capabilities, inspire high-performing teams, and drive the commercial transformation that will define AZ's competitive edge over the next decade.

Accountabilities:

• Lead Global and US insights, analytics, and forecasting to inform long-, mid-, and near-term plans, early investment choices, lifecycle strategy, and quarterly reviews.

• Translate complex analytics into clear strategic options and trade-offs for senior stakeholders.

• Oversee industry-leading insight programs that combine primary research, secondary data, and competitive intelligence to surface unmet needs and patient-journey drivers.

• Ensure all research meets compliance and ethical standards and generates actionable findings for portfolio and brand decisions.

• Own transparent, patient-based revenue models that guide portfolio and investment decisions and align with clinical and commercial strategies.

• Drive innovation (predictive modeling and automated insight extraction) and embed these capabilities into decision making.

• Integrate Global strategy, US priorities, and Regional market dynamics into a cohesive view; create feedback loops so each informs the other and resolve tensions when they arise.

• Run an agile operating model with clear prioritization and resource allocation; manage budgets and vendor partners, deciding when to build in-house vs. outsource.

• Inspire, develop, and retain a geographically dispersed team; foster a culture of experimentation and continuous improvement.

Essential Skills/Experience:

• BSc/BA degree in business or related discipline

• 8+ years of experience within the pharmaceutical or biotechnology industries including 5+ years in commercial, market access or insights, analytics or forecasting with global and US

• Extensive People management experience

• Experience building and optimizing teams and commercial capabilities

Desirable Skills/Experience:

• Advanced degree preferred (e.g., MBA, MPH, PharmD, PhD)

• Proven success leading large, geographically dispersed teams (40+ direct and indirect reports) through transformation and growth

• Experience in therapy areas aligned with AstraZeneca’s Biopharmaceutical division

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The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.

Principal Responsibilities:

Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting, and implementation.

Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.

Independently explore and develop new alpha ideas while collaborating in a transparent and team-oriented environment.

Preferred Technical Skillset:

Strong research and programming skills, with proficiency in Python.

Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.

Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-ranked university. Strong candidates with Bachelor's degree will also be considered.

Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.

Creativity and out-of-the-box thinking, combined with rigorous quantitative analysis.

Preferred Experience:

2+ years of experience in quantitative research with a focus on systematic macro strategies.

Preferred experience in hedge fund alpha research in commodities, FX, equity, and bond futures.

Experience in macro intraday strategies is a strong plus.

Experience in trading cost analysis is a plus.

Experience in machine learning is a plus.

Target Start Date:

Up to 12 months (strong preference for candidates who can start sooner)

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

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As a Medical Director, Early Clinical Development, Oncology, you will have a clinical background and be driven by science and the desire to develop novel therapies for cancer patients. You will possess a proficiency in the drug development process, particularly early phase clinical trials, protocol writing and study conduct, data review and reconciliation, and what it takes to lead teams successfully.

This position offers the opportunity for growth and development while working in a vibrant environment. AstraZeneca is in a period of tremendous growth and acceleration in the oncology portfolio. This is a fast-paced and dynamic work environment where, with growing levels of responsibility.

Typical responsibilities may include:

• Providing long-range clinical planning in early clinical trial development, planning and managing of clinical research projects and clinical development programs in oncology.
• Serving as the Project Medical Monitor while working in a cross functional environment with representatives from other involved line functions as well as Late-Stage Development.
• Contributing to and supporting Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&D portfolio.
• Establishing and approving scientific methods for design and implementation of applicable clinical protocols, data collection systems, and final reports;
• Playing a role in designing clinical development plans and overall strategy for compounds, therapeutic classes of compounds or indications in light of developments in the area of clinical and pharmaceutical oncology;
• Participating in identification, selection and conduct of negotiations with clinical research centers and investigators;
• Participating in the selection and management activities of CROs;
• Supervising project team members in planning, conducting and evaluating clinical trials;
• Leading all aspects of planning and management of investigator meetings, advisory boards and other scientific committees.

Essential Requirements:

• M.D degree or equivalent.
• Strong preference for individuals with clinical training in oncology or hemato-oncology.
• At least 3 years of experience in clinical research and/or oncology drug development in pharmaceutical, academic or CRO environment.

Preferred Requirements:

• PhD in a relevant research area is preferred.
• Significant experience in the pharmaceutical/life sciences industry in a function aligned to clinical development and early or late stage clinical trials.
• Medical specialty and sub-specialty training and Board Certification.
• Excellent oral and written skills, strong interpersonal and listening skills with a focus on results and sound outcomes.
• Proven leadership skills and demonstrated ability to interact collaboratively in a cross-functional environment.
• High level of emotional intelligence; able to deal with ambiguity.
• Able to relate to varied level audiences across the organization; able to set priorities for team and maintain accountability; skillful in negotiating organizational boundaries and hierarchy; able to build effective teams.
• Experience in molecular oncology and/or translational science.

The annual base pay for this position ranges from $249,827 to $374,740.

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Location: Gaithersburg, MD (US) - This is a hybrid role, onsite requirement

Welcome to the Oncology Business Unit at AstraZeneca! This is the place to build a world-class career in a dedicated Oncology unit. Here, we are always looking to learn more, welcoming the varied opportunities to expand our horizons or develop niche expertise. Embrace the unparalleled access to industry-leading research, technology, and pipeline product launches with a footprint in every region. Coupled with our agility and sharp focus on talent development, there is an exciting opportunity to accelerate a rewarding and meaningful career.

Accountabilities:

As the Medical Lead, you will be responsible for leading Medical Affairs activities in Hematology Oncology Franchise and providing medical leadership to the Core Medical Team (CMT). You will be responsible for developing the medical strategy and deliver de medical plan (IMAP), connecting multi-channel insights with product development and launch timeline. You will ensure the medical accuracy and fair balance of medical information in promotional material and learning materials for both internal and external use. You will interact with leaders of groups identified as strategic partners, including advocacy, payer, and provider groups. You will also provide medical input into the safety profile of the product in collaboration with Patient Safety (PS) physicians and collaborate with the Medical Science Liaisons and work closely with National Clinical Account Managers to appropriately support key accounts.

Essential Skills/Experience:

• A Doctorate in Medicine (M.D, D.O), PhD or PharmD degree plus proven experience and active license.
• A minimum of 5+ years of related work experience in industry, clinical or research institution, preferably in onco-hematology, solid tumors, or related experiences
• 1-3 years in HQ Medical Affairs role
• Expert technical depth in disease area – Hematology/Oncology
• Thorough understanding of drug development and pharmaceutical market support and in-depth knowledge of Hematology/Oncology (clinical evidence and real-world patient management)
• Strong leadership with a proven track record of change and impact
• Strong business acumen skills and experience with financial management
• Experience in supporting brands or disease area levels in-country, regional, or global organisations is preferred
• Proven ability to interact productively with both commercial and scientific/medical colleagues, with ability to engage and influence senior stakeholders and work collaboratively in cross-functional teams
• Ability to travel nationally and internationally. Travel will be, as appropriate, up to ~30% of the time
• Excellent written and oral communication, interpersonal, negotiation and presentation skills

Desirable Skills/Experience:

• Additional training such as an M.P.H., M.B.A., or other advanced degree
• Product Launch Experience and FDA requirements
• Experience working in US market
• Experience with the clinical management of leukemia disease areas such as chronic lymphocytic leukemia (CLL)
• Experience in evidence generation planning and clinical trial design
• Experience in a strategy-setting role within Medical Affairs and navigating sophisticated business challenges
• Experience in developing and maintaining a network that includes third-party expert
• Background in practicing medicine, clinical research, and familiarity with biostatistics, epidemiology and health outcomes
• Knowledge of relevant Professional Societies and Scientific Medical Experts.
• Line management (People leadership) with demonstrated coaching and mentoring experience

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca?

In Medical Affairs at AstraZeneca, we change the practice of medicine and improve the patient experience by generating and communicating compelling medical evidence. We translate the wealth of medical and scientific expertise to ensure the data we produce helps physicians to better treat patients at every point in the journey. We are proud to work on the cutting-edge with one of the broadest and deepest Oncology pipelines in the business. Help to advance our pipeline by applying scientific expertise and accelerating our pathway to finding a cure.

Ready to make a difference? Apply today and join us in our mission to redefine cancer treatment and eliminate cancer as a cause of death

The annual base pay (or hourly rate of compensation) for this position ranges $193,281.60 - $289,922.40 USD. Our positions offer eligibility for various incentives,an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted 13-Apr-2026

Closing Date 14-May-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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This position leads the medical strategy for assigned oncology indication(s)/asset(s), driving launch excellence, shaping evidence generation, and building confidence in our science across the globe.

Acting as the key bridge between R&D and Commercial, this role steers the Global Medical Plan, orchestrates global launch readiness, and ensures that every decision is grounded in robust data and patient impact.

Ready to influence how new oncology medicines are understood, adopted, and scaled across diverse healthcare systems?

Accountabilities

• Provide strategic medical leadership for assigned indication(s)/asset(s), owning the Global Medical Plan and leading launch strategy from early planning through post-launch optimisation.

• Set clear strategic direction, prioritise initiatives, and make evidence-based trade-offs to maximise patient outcomes and business impact, adapting plans in response to external dynamics and performance against launch KPIs.

• Define, track, and interpret medical Key Performance Indicators to assess strategy impact, identify progress, and diagnose barriers to launch success.

• Represent Global Medical on key cross-functional forums such as the Integrated Business Team and Global Product Team, shaping commercial strategy, informing R&D development and lifecycle planning, and ensuring Medical input into clinical development and commercialisation strategies.

• Lead Medical Integrated Teams to align global, regional, and country medical teams around launch strategy and execution, acting as a medical decision-maker and ambassador in market engagements.

• Influence clinical development by identifying registrational evidence gaps, companion study needs, and Target Product Profile implications, ensuring Medical perspectives shape Tumor Strategic Plans and Business Strategy Plans.

• Strengthen global medical capabilities through effective delegation, coaching, empowerment, and mentorship, building high-performing teams focused on launch excellence.

• Lead global and regional evidence gap analyses to define critical clinical, real-world, and mechanistic evidence needs, and develop integrated evidence plans across clinical, diagnostic, digital, and real-world sources.

• Shape the scientific and strategic design of AZ-sponsorised interventional Medical Affairs studies, conceptualise real-world evidence studies with partners, and oversee governance, milestones, and resources to deliver to the highest scientific, ethical, and compliance standards.

• Own the Global Publications Plan from Phase 3 ID onwards in partnership with publications teams, ensuring compelling, credible scientific communications and appropriate review of local/regional medical studies and Externally Sponsored Research.

• Embed innovative approaches to evidence generation aligned with the MARS vision, leveraging cancer networks, novel study designs, and data-driven insights.

• Own and lead the scientific narrative from pre-Phase 3 ID onwards, ensuring consistency across evidence, publications, congresses, and education while driving an Integrated Confidence Plan executed by Centres of Excellence.

• Define global medical education priorities, identify key audiences and learning objectives, guide delivery formats (digital, hybrid, in-person), and ensure scientific rigor in all educational activities.

• Lead the external engagement strategy for indication(s)/asset(s), including KEEs, societies, health systems, and global organisations; gather insights that shape scientific practice and actively influence external experts to advance health outcomes and accelerate guideline adoption.

• Lead congress strategy end-to-end: drive pre-congress planning (abstracts, presentations, training), guide on-site scientific presence, and oversee post-congress insight synthesis, dissemination, and follow-up actions.

Essential Skills/Experience

• Advanced degree required (MD, PhD, PharmD, in any related field)

• At least three years of experience within the pharmaceutical or biotech industry, ideally at the country, Region and global level.

• Demonstrated success in leading evidence generation strategies, Medical Plans, publications, or scientific communication programs.

• Proven ability to influence senior stakeholders across Commercial, R&D, and Medical Affairs.

• Experience engaging external experts and scientific communities.

Desirable Skills/Experience

• Previous global Medical Affairs leadership experience in oncology.

• Experience leading cross-functional teams in highly complex, multi-indication environments.

• Experience navigating launch environments, new MoAs, new CDx, complex biomarker landscapes, or challenging safety profiles (aligning to GMAL complexity criteria).

Benefits

AstraZeneca offers an environment where scientific curiosity meets real-world impact: a global biopharmaceutical company tackling serious disease while constantly searching for new ways to solve complex healthcare and sustainability challenges.

Teams reflect the diversity of the communities we serve; different perspectives are encouraged, collaboration is expected, and questioning minds are supported to push boundaries.

With strong investment in learning, data and digital innovation, and cross-functional partnerships inside and outside the organisation, people are empowered to take smart risks, learn fast from experience, and contribute directly to life-changing medicines for patients worldwide.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.

We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.

We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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About AstraZeneca

At AstraZeneca, we're not afraid to do things differently. We're building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening up innovative ways of working, pioneering groundbreaking methods, and bringing cross-functional teams together.

Early Oncology is focused on attacking cancer from multiple angles through innovative modalities, realizing the potential of combinations, and building treatment regimens with depth, durability, and precision. This senior leadership position – within the Oncology Targeted Discovery Department – will be accountable for the generation of bioscience data packages to support candidate drug selection and clinical positioning of assets, including prioritization of cross-portfolio combinations.

We are seeking a dynamic and experienced leader to lead the drug discovery efforts in small molecule portfolios in Oncology R&D. In this role, you will report to VP, Small Molecule Bioscience and lead a bioscience department based in Kendall Square.

Key accountabilities include:

• Providing strategic leadership and direction for the Bioscience function and partnering with the Oncology Targeted Discovery senior leadership team in the vision and execution of the small molecule bioscience strategy.

• Evolving the capabilities and fostering a collaborative and high-performing culture, ensuring resources are used appropriately to satisfy current and anticipated needs of the organization, and that the function drives performance and delivers business value.

• Driving portfolio prioritization, staying abreast of the latest external developments and innovations, and being able to identify future strategic opportunities.

• Collaborating cross-functionally with colleagues across the discovery, translational, and clinical organizations.

Education, Qualifications, Skills, and Experience

• PhD in Biological science discipline

• Minimum of 10 years' experience in biotechnology or pharmaceutical industry with deep drug discovery experience and ability to manage cross-functional stakeholders

• Proven track record of delivering portfolio success in both pre-clinical and clinical phase

• Experience of driving innovation and delivering strategic/operational change across the business

• Oversight of in vivo pharmacology with awareness of local regulations

• Proven leadership experience promoting, motivating, and empowering others to accomplish individual, team, and organizational objectives

• Effective interpersonal and relationship management skills with consultative approach and ability to interact and build trust

• Strong leadership and communication skills – ability to convey scientifically complex data and concepts in a simple, straightforward manner

• Ability to influence strategically and persuade tactfully, to obtain desired outcomes while maintaining effective, positive organizational relationships

• Expert reputation within the business and externally across the industry

Why AstraZeneca?

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, groundbreaking pioneering methods, and bringing unexpected teams together.

Interested? Come and join our journey!

So, what's next? If you are passionate about the possibilities, don't hesitate in submitting an application today!

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You will develop the medical strategy and deliver the medical plan (IMAP), connecting multi-channel insights with product development and launch timeline. You will ensure the medical accuracy and fair balance of medical information in promotional material and learning materials for both internal and external use.

You will interact with leaders of groups identified as strategic partners, including advocacy, payer, and provider groups. You will also provide medical input into the safety profile of the product in collaboration with Patient Safety (PS) physicians and collaborate with the Medical Science Liaisons and work closely with National Clinical Account Managers to appropriately support key accounts.

As a Medical Lead, you will have a Doctorate in Medicine (M.D, D.O), PhD or PharmD degree plus proven experience and active license. You will have a minimum of 5+ years of related work experience in industry, clinical or research institution, preferably in onco-hematology, solid tumors, or related experiences.

You will have strong leadership with a proven track record of change and impact, strong business acumen skills and experience with financial management, and experience in supporting brands or disease area levels in-country, regional, or global organizations is preferred.

You will have excellent written and oral communication, interpersonal, negotiation and presentation skills, and ability to travel nationally and internationally. Travel will be, as appropriate, up to ~30% of the time.

Our positions offer eligibility for various incentives,an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

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Accountabilities The Senior GMAL leads the design and execution of global product and disease area strategies, translating scientific insight and healthcare system understanding into clear, practice-changing medical plans. This includes shaping ambitious practice change initiatives that influence care pathways, market access, and treatment adoption across diverse geographies. The role is responsible for the global evidence generation strategy, from interventional trials (Phases 2–4) to real-world evidence programs, ensuring that clinical research, registries and RWE studies are aligned with brand, access and healthcare transformation objectives. It drives optimisation and communication of data across scientific platforms, ensuring differentiated evidence reaches regulators, payers and healthcare professionals in a timely and impactful way. A core responsibility is to blend advanced scientific expertise with digital skill, using digital health tools, analytics and data platforms to transform how evidence is communicated and how stakeholders are engaged. The Senior GMAL crafts compelling scientific narratives, leads digital dissemination of evidence, and safeguards accuracy, impact and compliance in all scientific communications. The role builds and sustains influential relationships across the healthcare ecosystem, including global and regional KOLs, professional societies, regulators, payers, patient organisations, digital innovators and health systems. It mobilises support for medical strategy and healthcare change initiatives, while mentoring cross-functional teams and encouraging scientific leadership and collaboration. The Senior GMAL also brings deep regulatory insight to the design of clinical trials and evidence programs, anticipating evolving regulatory and payer requirements to ensure robust, compliant data generation and communication. This includes guiding teams on regulatory expectations, shaping evidence packages for submissions and HTA processes, and ensuring that medical plans are fully integrated with commercial, access and lifecycle strategies. Throughout, the role acts with urgency, challenges the status quo, spots new opportunities in data and science, and leads teams through complex decision-making to deliver significant impact for patients worldwide.

Essential Skills/Experience

• Master’s degree in any field with at least 5 years of experience in the pharmaceutical industry (Medical, Marketing, R&D, Market Access), or extensive experience within a health system (clinical, pharmacy, pathway design, etc.)
• Demonstrated leadership in complex, global healthcare environments, including leading franchise/TA business in key markets, driving brand performance, and leading large, diverse teams.
• Significant expertise and strategic insight into healthcare system pathways, regulatory landscapes, market-shaping, and external stakeholder engagement.
• Consistent track record of internal and external network building, collaboration across geographies and matrix teams, and effective mentoring of junior colleagues or peers.
• Digital proficiency, maximising digital health tools and data platforms to advance evidence generation and communication.
• Deep understanding of patient care pathways, evolving treatment protocols, scientific literature, and contemporary approaches to healthcare transformation.
• Shown ability to guide, influence, and align diverse stakeholders,including thought leaders, regulatory bodies, patient groups, and payer organisations.

Desirable Skills/Experience

• Doctoral-level degree (MD, PhD, PharmD) in a relevant field.
• Recognised expertise in the relevant or related therapeutic area, often evidenced by a history of clinical practice, research leadership, or significant external engagement.
• Advanced experience designing, leading, and interpreting clinical research programs, including pivotal clinical trials (Ph2–Ph4), practice-changing RWE studies, and implementation of innovative evidence generation approaches.
• Broad experience beyond Medical Affairs; for example, prior roles in Marketing, R&D, or Market Access.
• Long-standing relationships with global KOLs, societies, regulators, digital health partners, and innovative healthcare organisations.
• Track record of launching new products or indications in multiple, diverse markets (e.g., US, China, EU), and successfully developing and delivering global medical strategies.

AstraZeneca offers an environment built on innovation and curiosity where difference is valued and questioning minds are encouraged to challenge convention; teams reflect the diversity of the communities they serve, work closely together across disciplines and geographies, embrace digital and data to solve complex challenges at pace, learn continuously through shared insight and feedback, and channel their entrepreneurial spirit into developing the next generation of therapeutics that improve outcomes for patients and society. If this role matches your experience and ambitions, apply now to join us on this journey! Are you ready to bring insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours. Apply today.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

The annual base pay for this position ranges from $243,586.40 - $336,379.60 USD , Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits.

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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The Manager, GCS supports teams to improve process effectiveness and performance and provides guidance in the development and maintenance of processes, systems and services owned by GCS.

This role coordinates, leads and delivers GCS services across projects and activities, ensuring operational excellence across all delivery models.

It also leads and project manages improvement initiatives that strengthen how clinical development is delivered and how patients ultimately benefit from our science.

As a key member of an activity team, the Manager, GCS coordinates and delivers GCS services, overseeing lifecycle management and business continuity for assigned projects, services and technologies.

The role provides expert support to user communities by conducting process, system and tool training, facilitating knowledge sharing, establishing best practices and maintaining clear communication with stakeholders across GCS and AstraZeneca.

It involves conducting critical analyses of processes and tools to define business usage, identifying opportunities to improve efficiency and effectiveness while reducing business continuity risks, and contributing to or developing business cases for continuous improvement projects.

The Manager, GCS leads or manages business improvement projects using lean principles, including planning, prioritising, implementing and tracking delivery.

Acting as a source of knowledge in one or more GCS areas, the role supports the implementation of changes that enhance how functions and teams perform.

It evaluates and monitors programme performance to ensure implementation stays on target, trains colleagues in continuous improvement and new ways of working, and helps embed a culture of change.

The role grows capabilities, applies new approaches to improve work, positively impacts team performance and creates learning opportunities for others.

It is also responsible for knowledge management of continuous improvement activities, ensuring insights are captured and used to shape future initiatives.

Ready to help transform how clinical development operates?

Essential Skills/Experience:

• BS, MS, or PhD in a biological or healthcare-related field with 2+ years of relevant pharmaceutical or clinical development industry experience

• Ability to work collaboratively; proven organisational and analytical skills, and proven skills to deliver to time, cost and quality

• Good project management skills

• Excellent knowledge of spoken and written English

• Strong business communication, stakeholder management and presentation skills

• Well-developed organisational and interpersonal skills

• Ensure risks and issues management to ensure effective delivery.

Expertly utilises escalation routes and governance to gain traction and deliver rapid solutions

Share lessons learned and best practice recommendations with relevant stakeholders to drive continuous improvement

Build relationships and achieve results without line management input

Curious and self-motivated

Desirable Skills/Experience:

• Experience utilising standard process improvement methodologies (e.g. Lean Six Sigma) to identify root causes of process issues and identify areas of process improvement

• Some experience with Quality Systems and Quality Management, including process definition and process improvement, ideally within an Information Systems environment

• Experience in multiple fields of clinical development

• Understanding of ICH GCP guidelines in relation to study delivery

• Experience working in a global organisation with complex/geographical context

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.

In-person working gives us the platform we need to connect, work at pace and challenge perceptions.

That's why we work, on average, a minimum of three days per week from the office.

But that doesn't mean we're not flexible.

We balance the expectation of being in the office while respecting individual flexibility.

Join us in our unique and ambitious world.

AstraZeneca offers the chance to follow the science end-to-end, from early discovery through late-stage development, in an environment where digital, data science and AI are embedded into everyday work.

Colleagues collaborate across disciplines and geographies to tackle complex diseases, learn from patients' experiences and translate ideas into life-changing medicines for people worldwide.

Continuous learning is encouraged through diverse projects, development programmes and exposure to different therapy areas, enabling meaningful careers built on curiosity, courage and scientific excellence.

If this role matches your skills and ambition, apply now to help shape the future of clinical development and make a real impact for patients!

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As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Ideal candidates will have:

• 5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams, mentoring, coaching, and developing talent
• Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders

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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities:

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives

• Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally

• Develop new methodological approaches for studying AI's impact on:

• Labor markets and the future of work

• Productivity and task transformation

• Economic inequality and displacement

• Industry-specific disruption and adaptation

• Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios

• Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners

• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

• Translate research insights into actionable recommendations for both product decisions and policy discussions

• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have:

• PhD in Economics

• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning

• Experience relevant to the study of AI’s impact on the economy, including:

• Labor market analysis and occupational change

• Task-based approaches to technological transformation

• Large-scale data analysis and econometric methods

• Large language models for social science research

• Policy-relevant economic research

• Experimental and quasi-experimental methods for causal inference

• Macroeconomic modeling and time series forecasting

• Agent-based modeling or large-scale simulation

• Technical skills including:

• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

• Experience working with novel datasets and measurement systems

• Comfort learning new technical tools and frameworks

• Demonstrated ability to:

• Lead complex research projects from conception to publication

• Communicate technical findings to diverse audiences

• Build relationships across academic, policy, and industry communities

• Strong interest in ensuring AI development benefits humanity

• Comfort working with AI systems and ability to think critically about their capabilities and limitations

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The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.

In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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Associate Director, Bioanalytical Development

About Formation Bio

Formation Bio is a tech and AI-driven pharma company that accelerates all aspects of drug development and clinical trials.

About the Position

The Associate Director, Bioanalytical will lead bioanalytical strategy and delivery for assigned programs, working across nonclinical and clinical teams to ensure assays are fit for purpose and support key development decisions.

Responsibilities

• Lead bioanalytical strategy and delivery for assigned programs across small molecules and biologics, aligned to clinical questions and decision points
• Define assay plans and validation approaches (fit-for-purpose through full validation) for PK/TK, metabolites as applicable, biologics bioanalysis, and immunogenicity
• Manage bioanalytical CROs and specialty labs for assigned workstreams: contribute to partner selection, define scopes, set timelines, and monitor performance, quality, and budget
• Oversee end-to-end bioanalytical execution: protocols, validation reports, sample analysis, data review, and final reports to support program decisions and filings
• Own day-to-day BA operating processes for assigned programs: assay lifecycle tracking, method transfer planning, issue triage, deviation management, and CAPA follow-up with vendors
• Ensure data quality and audit readiness for assigned deliverables through strong documentation practices, traceability, and alignment to regulatory guidance and internal standards
• Partner with Clinical Pharmacology and Clinical Development on study design inputs, sampling strategies, analyte panels, and interpretation of exposure and immunogenicity implications
• Coordinate with Clinical Operations on sample logistics (kits, handling, stability, chain of custody, reconciliation) and resolution of operational issues impacting bioanalysis
• Collaborate with Regulatory Affairs by drafting/reviewing submission components and providing technical input to support IND/CTA and NDA/BLA/MAA activities
• Align with DMPK/Nonclinical on bioanalytical approaches across studies and support translational PK needs
• Work with Biostatistics/Data Science to enable clean data transfers, consistent formats/metadata, and analysis-ready datasets
• Support diligence and asset evaluation by reviewing bioanalytical packages, identifying gaps/risks, and proposing pragmatic remediation plans
• Contribute to Trial Engine scaling by helping standardize templates, workflows, and reporting conventions that improve speed and consistency across programs

About You

• PhD in a relevant field with 7+ years of bioanalytical experience in biopharma, including clinical-stage support, or a relevant undergraduate degree with 10+ years of experience
• Lead bioanalytical strategy and execution for assigned preclinical and clinical programs across small molecules and biologics
• Deep LC–MS/MS expertise for PK/TK, troubleshooting, and ISR
• Familiar with biologics bioanalysis and immunogenicity (ADA/NAb) approaches and interpretation
• Strong working knowledge of bioanalytical regulatory expectations and submission-quality documentation
• Lead CRO/vendor execution for assigned workstreams; support partner selection and governance as needed
• Comfortable operating in a fast-paced, cross-functional environment with multiple concurrent priorities
• Clear communicator who can translate technical detail into program-relevant recommendations
• Preferred: Experience functioning as part of a clinical study team to integrate tradeoffs between vendor selection, development speed, assay quality and performance, and applicability of method to deliver value to program overall
• Preferred: Familiarity with GCP/GCLP expectations and audit/inspection readiness for clinical bioanalysis
• Preferred: Experience shaping sample logistics (kits, stability, chain of custody) and data flow into filings

Total Compensation Range

$177,500 - $232,000

Compensation

Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!

Where We Hire

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.

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Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring & socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.

To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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Our team is responsible for adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. We work closely with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb's CS products.

As a Staff Machine Learning Engineer, you will have the opportunity to shape the direction of our AI initiatives and work on cutting-edge projects that transform Airbnb's customer service. You will be responsible for envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Requirements:

• PhD/Master's degree in Computer Science or equivalent experience
• 6/9+ years of ML engineering experience with ownership responsibility over large-scale software systems
• Background in the design and development of AI and ML systems and services
• Experience with LLM driven chatbot and Agentic AI products is a plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

Our Commitment to Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range: $204,000-$255,000 USD

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We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

• Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
• Working in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

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Your responsibilities will include supporting and ensuring the delivery of high-quality curated data, playing a pivotal role in supporting and contributing to the training of new tasks, and interacting with technical staff to help improve the design of efficient annotation tools.

To be successful in this role, you must possess a Master's or PhD in Civil or Environmental Engineering, or a highly-related field. You should also have strong communication, interpersonal, analytical, and organizational capabilities.

Preferred skills and experience include a PhD in Civil or Environmental Engineering, substantial professional experience working on real-world problems in this domain, and experience with at least one publication in a reputable journal or outlet.

This is a remote position, and you will be required to work from a computer that meets our specifications. Compensation and benefits vary based on employment type, location, and jurisdiction.

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.

You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation

• Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo

• Generate, analyze, and communicate data that maximally impacts AI-based molecular design

Qualifications

• PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)

• Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art

• Solid foundation in theory and techniques of molecular and cellular biology

• History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell 'omics

• Scientific programming (preferably in Python), including analysis and visualization of complex data

• Availability to work with team members across US and Europe, with meetings starting at 8am PT

• Readiness to travel several times a year for company retreats and business events

• We value in-person collaboration and expect candidates to work at our lab location

Preferred skills

• Experience with mammalian synthetic biology, particularly for cell therapy applications

• Knowledge of RNA biology, biochemistry, and biologics drug development

• Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis

• Experience generating and analyzing large 'omics datasets, via sequencing and/or mass spectrometry

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based Beginners

• 401K with company match for US based Beginners and Direktversicherung for German Beginners

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

*Varies by country and does not apply to internships

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Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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Your responsibilities will include executing structural, dynamic, and environmental testing on drones, missiles, and spaceflight hardware. You will lead test campaigns, including test plan creation, system activation, test operations, data review, and equipment design/fabrication. You will generate work instructions to direct and instruct technicians in the fabrication and integration of test articles and equipment. You will operate and troubleshoot data acquisition and control systems, wiring, and instrumentation, as well as thermal chambers, electrodynamics shakers, and fluid power systems. You will automate repetitive test operations to improve efficiency and safety.

We offer a highly competitive salary range of $113,000-$149,000 USD, plus highly competitive equity grants and top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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Responsibilities:

• Lead and execute complex data science projects that directly advance our drug development portfolio
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
• Aid in the development and training of AI agents to automate and optimize biomedical workflows
• Collaborate cross-functionally with clinical, technical, and research teams
• Present complex analytical findings to senior stakeholders, including executive leadership

About You:

• Required Qualifications:

+ PhD in computational sciences or life sciences + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) + Strong programming skills, particularly in Python + Extensive experience in multi-modal bioinformatics analysis

• Preferred Qualifications:

+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases + Strong background in machine learning and deep learning, particularly in biological applications + Experience with large language models (LLM) + Demonstrated ability to collaborate effectively with engineering teams on production systems + Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range: $170,000 - $215,000

Where We Hire:

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.

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Senior Psychologist

Job Description

We are seeking a Senior Psychologist to join the Responsible Development & Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).

Responsibilities

As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind's values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.

Key Responsibilities

• General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.
• Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.

Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.

• Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.
• Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.
• Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.
• Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.

Engage with internal and external experts to gather diverse perspectives and inform guideline development.

Requirements

In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:

• A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.
• Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.
• Extensive prior experience working in a leading industry position.
• A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.
• Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.
• Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.
• Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.
• Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.
• A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.
• Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.
• Experience in applied research settings or translating academic knowledge into practical guidelines or applications.
• Experience in engaging with cross-functional teams.
• Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.

Salary

The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.

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Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possess a PhD in Industrial or Systems Engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an industrial or systems engineer.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

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As a machine learning engineer on our team, you'll develop advanced ML solutions that directly impact Stripe's payment products and core business metrics.

About the team

The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact.

Responsibilities

• Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers
• Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives
• Architect generalizable ML workflows to enable rapid scaling and optimized online performance
• Deploy ML models online and ensure operational stability
• Experiment with advanced ML solutions in the industry and ideate on product applications
• Explore cutting-edge ML techniques and evaluate their potential to solve business problems
• Work closely with ML infrastructure teams to shape new platform capabilities

Who you are

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements

• Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
• Proficient in Python, Scala, and Spark
• Proficient in deep learning and LLM/foundation models

Preferred qualifications

• MS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics)
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
• Experience evaluating niche and upcoming ML solutions

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which candidates must be comfortable.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modelling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialisation in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modelling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

We're looking for a Data Scientist to join our team at Stripe, where you'll work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams.

As a Data Scientist at Stripe, you'll play a crucial role in optimizing our systems and leveraging data to make strategic business decisions. You'll work with a variety of data science roles and teams across Stripe, and will be aligned to the most relevant team based on your background.

Responsibilities

• Work closely with a specific part of the business to optimize our systems and leverage data to make strategic business decisions
• Use techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics to ensure that the company strategy, products, and user interactions make smart use of our rich data
• Partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• PhD + 3 years, MS/MA + 6 years or BS/BA 8 years of data science/quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom

Preferred qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

XML job scraping automation by YubHub

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced pure math topics to boost performance.

Key responsibilities include:

• Using proprietary software applications to provide input/labels on defined projects.
• Supporting and ensuring the delivery of high-quality curated data.
• Playing a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with the technical staff to help improve the design of efficient annotation tools.
• Choosing problems from pure math subdomains that align with your expertise, focusing on areas like abstract algebra, real/complex analysis, topology, graph theory, and so on where you can confidently provide detailed solutions and evaluate model responses.

To succeed in this role, you'll need:

• A Master's or PhD in Mathematics with a specialization in a subdomain of pure mathematics, or a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred skills and experience include:

• Math PhD with a specialization in a subdomain of pure mathematics.
• Peer-reviewed pure math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

As a remote worker, you'll have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. Compensation ranges from $45/hour to $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. Benefits vary based on employment type, location, and jurisdiction.

XML job scraping automation by YubHub

We're a multidisciplinary team building state-of-the-art generative models in chemistry & materials to accelerate scientific breakthroughs.

As a Research Scientist in our Science unit, you will be at the forefront of applying generative AI to the "Grand Challenge" of predicting the structure and properties of complex matter.

Your work will bridge the gap between in silico modeling and real-world laboratory discovery, particularly in areas where traditional computational methods are bottlenecked by time and complexity.

Key responsibilities:

• Design and train advanced AI models (transformers, generative models, etc.) to model the structure and properties of complex physical systems.

• Develop deep understanding of scientific domains that can be used to identify novel modelling approaches.

• Design and execute robust ML experiments that allow for the accumulation of small improvements, sharing results through clear verbal and written communication.

• Collaborate with other scientists and engineers to help shape the research roadmap.

About You

You are fascinated by the intersection of AI and natural science and determined to help solve grand challenges facing humanity.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD / equivalent experience in computer science, computational chemistry, materials science, physics with a focus on atomistic simulation or structural biology.

• Fluency in generative models and transformers

• Excellent collaboration and communication skills

• Experience with modern deep learning frameworks

In addition, the following would be an advantage:

• Record of high-impact published work at the intersection of AI and natural science, particularly chemistry and materials science.

• Demonstrated experience in geometric deep learning.

Applications close on Monday 20th April at 5pm BST

XML job scraping automation by YubHub

Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

The Role

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas.

In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product.

To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

Salary

The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

Benefits

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

XML job scraping automation by YubHub

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems.

We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product.

Job Duties and Responsibilities:

• Work with senior engineering team in major development projects, design and implementation
• Be a key contributor in the implementation of the LCM infrastructure
• Troubleshooting customer issues and debugging from logs (Splunk, Syslogs, etc.)
• Design & Implement features with functional and unit tests along with monitoring and alerts
• Conduct design & code reviews, analysis and performance tuning
• Quick prototyping to validate scale and performance
• Provide technical leadership and mentorship to more junior engineers
• Interface with Architects, QA, Product Owners, Engineering Services, Tech Ops
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work

Required knowledge, skills, and abilities:

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 4+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot
• 2+ years of development experience building services, internal tools and frameworks
• 2+ years experience automating and deploying large scale production services in AWS, GCP or similar
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures
• Experience working with relational databases, ideally MySQL, PostgreSQL or GraphDB
• Ability to work effectively with distributed teams and people of various backgrounds
• Lead and mentor junior engineers

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD.
• Experience with UI development or javascript frameworks
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM

XML job scraping automation by YubHub

Senior Software Engineer, AI Products (India)

Company Overview

Airbnb is a global online marketplace for booking accommodations, with over 5 million hosts and 2 billion guest arrivals.

The Community You Will Join

The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce. Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done. You'll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees,building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.

The Difference You Will Make

As a Senior Software Engineer on the Airfam Products team, you'll be instrumental in building Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company,every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb's global workforce. You will:

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
• Drive innovation by taking AI prototypes from concept to production at scale
• Shape the future of how Airbnb employees work, collaborate, and discover information

A Typical Day

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
• Balance hands-on technical contributions with technical leadership activities

Your Expertise

• 8+ years of software engineering experience, with significant focus on building production AI/ML systems
• 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
• Strong proficiency in backend technologies (TypeScript, Go, or Java)
• Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
• Track record of shipping AI-powered products from prototype to production
• Proven ability to collaborate cross-functionally and influence without authority
• Excellent communication skills with ability to distill complex technical concepts for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred

• Master's or PhD in Computer Science, Machine Learning, or related field
• Experience building AI agents and multi-agent systems, preferably using Claude
• Experience building integrations using MCP
• Experience with containerization and orchestration (Docker, Kubernetes)
• Background in building enterprise-grade internal tools and developer productivity platforms
• Experience with frontend technologies (React, Next.js) for full-stack AI product development
• Contributions to open-source Gen AI/ML projects or publications at top venues

Your Location

This position is based in Bangalore, India with a hybrid work arrangement. You'll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.

Our Commitment to Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

XML job scraping automation by YubHub

You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modeling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialization in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modeling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

XML job scraping automation by YubHub

Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. They will have a strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning.

Some examples of our recent work include:

• Anthropic Economic Index Report: Economic Primitives
• Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
• Estimating AI productivity gains from Claude conversations
• The Anthropic Economic Index

For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy.

XML job scraping automation by YubHub

About the Job: The Maritime Division builds integrated autonomous maritime systems, including surface and undersea vehicles, subsea sensing, and kinetic payloads, all powered by our Lattice platform. We are seeking an Associate Director, Business Development, Copperhead, to join our rapidly growing Business Development team in Washington, DC.

Responsibilities:

• Generate and capture business opportunities. The BD team is ultimately responsible for growing revenue. You will support the growth team in identifying, pursuing, and shaping future opportunities for our Undersea Reconnaissance and Strike portfolio.
• Grow existing business. You will partner with adjacent business lines and product engineers to identify opportunities for business growth with current clients.
• Communicate our value to clients. BD team members represent Anduril to a broad audience: clients, partners, competitors, and the interested public.
• Inform product development. You will be a liaison between a current or prospective client and the engineering organization, and as such must be able to translate their problem set into an actionable internal plan and product roadmap.

Requirements:

• The ideal candidate will be a proven development and growth leader with prior experience in commercial or DoD Capture and Sales, demonstrating a track record of building, executing, and winning business capture strategies, particularly with an emphasis on the US Navy as a customer.
• Demonstrated knowledge in defense acquisitions, with a history of zero-to-one defense program growth a plus.
• Experience in the technical, programmatic, and operational challenges of developing and deploying underwater vehicles, torpedoes and high speed systems.
• Demonstrated high-energy, high-ownership leader who will drive performance and exhibit strong management skills with a high level of emotional intelligence.
• Excellent writing, communication skills with experience briefing senior executives and customers.
• Demonstrated knowledge of relevant DoD / IC / Commercial programs, platforms and payloads, to include enabling technologies, systems integration and software development.

Preferred Qualifications:

• Expertise in Undersea Warfare, Distributed Maritime Operations or complex engineering systems.
• Experience with government business development, government contract structures, and government proposal processes.
• Prior military or contracting experience, or experience in DoD or Government.
• Ability to travel 20-50%, including International.
• Masters or PhD in electrical engineering, physics or computer science.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Salary: $166,000-$220,000 USD

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is an enterprise-grade identity management platform, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta, organisations can manage access across any application, person or device. Whether the people are employees, partners or customers or the applications are in the cloud, on premises or on a mobile device, Okta helps organisations become more secure, make people more productive, and maintain compliance.

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems.

We are looking for an experienced Principal Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product.

Ideal candidate should be Hands-on expert developer in Java who is deeply technical with a passion for building high-quality, secure, and performant applications and frameworks. Demonstrable experience leading technical projects involving more than 20 engineers across multiple workstreams Excited by the opportunity to work on cutting-edge security and identity management challenges and are a thought leader who can drive technical strategy and mentor other engineers.

A collaborative individual with excellent communication skills, capable of working with cross-functional teams to deliver on a shared vision. Not just be a builder; but a force multiplier who can create frameworks and solutions that enable other teams to be more productive.

This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is someone who has experience building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.

Job Duties And Responsibilities

• Work with senior engineering team in major development projects, design and implementation
• Lead the architectural design and implementation of new features and services, with a focus on scalability, performance, and security.
• Collaborate with product managers, architects, and other engineering teams to define the technical strategy and lead the prototyping of software components.
• Directly oversee and coordinate complex technical initiatives involving 20+ engineers, ensuring alignment across disparate sub-teams
• Drive a culture of engineering excellence and continuous improvement, with a focus on robust testing, monitoring, and operational excellence.
• Stay up-to-date with the latest industry trends and technologies in identity, security, and distributed systems.
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

Required Knowledge, Skills, And Abilities

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 15+ years of Software Development in Java, preferably significant experience with Hibernate and Spring Boot
• A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• 4+ years experience automating and deploying large scale production services in AWS, GCP or similar
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures.
• Experience working with relational databases, ideally MySQL, PostgreSQL or GraphDB
• Strong communication skills and the ability to work across functions, distributed teams.
• Lead and mentor junior engineers

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience with security best practices and threat modeling
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM

Education

• B.E. Computer Science or equivalent

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In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities.

Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns.

You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

Responsibilities

• Develop Advanced Agentic Software
• Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning
• Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration
• Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation
• Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation
• Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Salary and Benefits

The salary range for this role is $254,000-$336,000 USD. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Your proactive approach in protecting yourself from recruitment scams is greatly appreciated.

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Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• Ability to easily pivot from delivery to strategic engagements with customers
• Work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers' most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

Requirements:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java, and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS, or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

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The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

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The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job description:

Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of 'domain adaptation' - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.

You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:

• Adapting, improving, and evaluating a method from the literature.
• Designing an entirely new method for domain adaptation.
• Composing together multiple methods to create new recipes for efficient post-training.
• Evaluation of LLMs and AI systems.

Your qualifications and qualities:

• Required:
• Research experience in and proficiency with the fundamentals of deep learning.
• Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).
• Proficient software engineering skills, including with PyTorch.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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Technical Program Manager, Frontier AI Research

About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

The Role

As a Technical Program Manager in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research.

Key Responsibilities

• Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
• Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
• Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
• Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
• Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
• Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
• Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.

About You

• Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• 5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
• Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
• Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.
• Preferred Qualifications:
• Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
• Direct experience in AI/ML research or development
• Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
• Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

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Key responsibilities include:

• Post-training/instruction tuning state-of-the-art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini Models are safe, maximally helpful, and work for everyone
• Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Design and maintain high-quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness
• Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
• Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

To succeed as a Research Scientist in the Gemini Safety team, we look for the following skills and experience:

• PhD in Computer Science, a related field, or equivalent practical experience
• Significant LLM post-training experience
• Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
• Experience with Long-range Reinforcement learning
• Experience in areas such as Safety, Fairness, and Alignment
• Track record of publications at NeurIPS, ICLR, ICML
• Experience taking research from concept to product
• Experience with collaborating or leading an applied research project
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing
• Experience with JAX

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Responsibilities:

• Conduct research on post-training methods for information-seeking scenarios in Gemini, including reinforcement learning and self-supervised training.
• Develop novel evaluation methods for improving model quality, grounding, and factuality.
• Investigate orchestration of tool calls and improved retrieval methods for information-seeking scenarios.

Requirements:

• PhD in a relevant area, or an equivalent research/publication record.
• Strong software-engineering skills in addition to a research background.

Preferred Qualifications:

• Experience in reinforcement learning.
• Experience in post-training methods.
• Experience in Large Language Models for information-seeking scenarios.

The US base salary range for this full-time position is between $147,000 USD - 211,000 + bonus + equity + benefits.

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Artificial intelligence will be one humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The Role:

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas. In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product.

You will deploy capabilities that drive daily usage of the product. To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product.

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.

• Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.

• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.

• Drive the integration of GenAI model capabilities into Gemini App products.

• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.

• Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.

• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.

• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.

• 15 years of experience in software engineering, building and working with systems in the technology organization.

• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage:

• Master's or PhD degree in Computer Science, or a related technical field.

• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.

• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.

• The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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Senior Psychologist

Job Description

We are seeking a Senior Psychologist to join the Responsible Development & Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).

Responsibilities

As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind's values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction.

Key Responsibilities

• General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.
• Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol.

Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.

• Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.
• Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.
• Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.
• Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics.

Engage with internal and external experts to gather diverse perspectives and inform guideline development.

Requirements

In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:

• A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.
• Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.
• Extensive prior experience working in a leading industry position.
• A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.
• Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.
• Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.
• Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.
• Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.
• A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.
• Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.
• Experience in applied research settings or translating academic knowledge into practical guidelines or applications.
• Experience in engaging with cross-functional teams.
• Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.

Salary

The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits.

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Research Scientist, Information Quality

Job Description

This role requires a passion for advancing information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.

Key responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.

Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.

Key responsibilities:

• Drive the projects by defining key research questions.
• Design, implement, and evaluate experiments to provide clear answers
• Contribute to real world impact, by landing your research in Google products and services.
• Publish research findings in top academic conferences and journals
• Stay up-to-date with the latest advancements in the field
• Collaborate with internal and external scientific domain experts.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Statistics, or a related field.
• Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.

In addition, the following would be an advantage:

• Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.
• Experience with training, evaluating, and interpreting large language models.
• Experience working with large and noisy datasets.
• Experience collaborating across fields.
• Proven ability to design and execute independent research projects.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 28th, 2026

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Responsibilities: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: Must possess a Master's or PhD in Mechanical Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Possess a PhD in Mechanical Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a mechanical engineer.

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About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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Key responsibilities include:

• Design and execute capability evaluations to assess the capabilities of new models
• Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
• Analyze safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

You may be a good fit for this role if you have a PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, or equivalent professional experience. You should also have extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred), deep expertise in modern biology, including both 'reading' and 'writing' techniques in biology, familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks, strong analytical and writing skills, and a passion for learning new skills and adapting to changing techniques and technologies.

Preferred qualifications include background in AI/ML systems, particularly experience with large language models, experience in developing ML for biological systems, and extensive experience in complex projects with multiple stakeholders.

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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We're seeking highly motivated individuals to join our Anthropic STEM Fellows Program. As a Fellow, you'll work alongside our research teams to develop and apply cutting-edge AI models to real-world problems in various STEM domains.

What You'll Work On

• Design rigorous evaluations to measure model performance in your field
• Identify or create data and techniques to target capability gaps
• Apply Claude to open problems in your domain using various test-time compute strategies and integrating relevant scientific tools/software

Ideal Candidates

• Are excited about the potential for AI to accelerate scientific discovery
• Are familiar with using Claude and Claude Code as part of their day-to-day workflow
• Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results
• Hold (or are completing) a PhD in a STEM field, or have equivalent research experience

Benefits

• A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
• Access to frontier Claude models and internal evaluation tooling
• A cohort of incoming Fellows to collaborate with and connection to Anthropic's broader research community

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The ideal candidate will possess a Master's or PhD in Civil or Environmental Engineering, or a highly-related field. You will have strong communication, interpersonal, analytical, and organizational capabilities, as well as solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may involve at least 10 hours per week to achieve deliverables effectively.

Compensation and benefits vary based on employment type, location, and jurisdiction. US-based candidates can expect to earn between $45/hour and $75/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications.

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Key responsibilities include:

• Providing input/labels on defined projects using proprietary software applications.
• Supporting and ensuring the delivery of high-quality curated data.
• Contributing to the training of new tasks, working closely with technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with technical staff to help improve the design of efficient annotation tools.
• Regularly interpreting, analysing, and executing tasks based on given instructions.

A Master's or PhD in Chemical Engineering, or a highly-related field, is requires. Proficiency in reading and writing, both in informal and professional English, is also necessary. Strong communication, interpersonal, analytical, and organisational capabilities are essential.

Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging applied math problems to boost performance.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from applied math domains that align with your expertise, focusing on areas such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Mathematics with a specialization in a subdomain of applied mathematics (there is a separate position for pure math) or (b) a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Math PhD with a specialization in a subdomain of applied mathematics.
• Peer-reviewed applied math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software.

You will collaborate closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).
• Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.
• Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.
• Possesses experience with at least one publication in a reputable accounting journal or outlet.
• Teaching experience as a professor

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

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This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Responsibilities:

• Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
• Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
• Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
• Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
• Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
• Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
• Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
• Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably

Key Qualifications:

• 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
• Demonstrated ability to build and maintain highly organized recruiting systems and processes
• Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
• Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
• Experience sourcing passive, highly competitive candidates
• Excellent written and verbal communication skills
• Ability to operate effectively in fast-moving, ambiguous environments

Preferred Qualifications:

• Experience in one or more of the following is a strong plus:

  • Recruiting or sourcing for research-heavy organizations or frontier AI labs
  • Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
  • Experience hiring PhD-level researchers or highly specialized engineers
  • Background in startup environments or early-stage team building
  • Experience with advanced sourcing tools, automation, or custom workflows

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

Equal Opportunity & Pay Transparency

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

In accordance with California law, we disclose the following:

• Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)
• Total Compensation: Base salary plus equity awards and annual performance bonus
• Salary History: We do not request or consider prior compensation in making offers

Compliance:

• Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)
• Accommodations & inquiries: talent@worldlabs.ai

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The engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding.

Key responsibilities include leading system architecture and requirements development and integration for communications, payloads, avionics, and weapons integration, serving as a technical subject matter expert for mission processing and architectures across the aircraft program, writing system specifications for acquiring hardware and software from vendors for mission processing and storage subsystems, driving trade studies and system-of-systems analysis to balance performance, cost, and schedule, overseeing integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards, collaborating with program management to de-risk architectures and ensure technical maturity gates are met, and interfacing with customers, partners, and suppliers to align system requirements and certifications.

In this role, the engineer will be responsible for delivering complex systems to fielded capability, leading multidisciplinary teams, and briefing technical findings to executives and customers.

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration, demonstrated experience with aircraft payloads, avionics, and/or weapons integration, demonstrated experience with line-of-sight and beyond line-of-sight aircraft communications systems and components, working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA), or modular avionics standards, proven ability to lead multidisciplinary teams and deliver complex systems to fielded capability, strong knowledge of systems engineering processes and product development lifecycle, familiarity with DO-178C/DO-254 certification requirements for software and hardware, excellent communication skills, and active Secret clearance with the ability to obtain a Top Secret clearance.

Preferred qualifications include a Master's or PhD in Aerospace, Systems, or Electrical Engineering, hands-on experience with flight test operations and mission system validation, direct experience integrating advanced sensors, autonomy, AI-enabled payloads, or guided weapons, background in model-based systems engineering (MBSE) and SysML tools, strong knowledge of current aircraft mission systems vendors and capabilities, and active DoD Top Secret clearance.

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The engineer will drive mission system architectures, lead requirement development and allocation, and oversee system integration from concept through flight test and fielding. They will ensure that payloads, avionics, and weapons are seamlessly integrated into the aircraft while meeting mission performance, safety, airworthiness, and compliance objectives.

Key responsibilities include leading system architecture and requirements development and integration for payloads, avionics, and weapons integration, serving as a technical subject matter expert for mission systems engineering across the aircraft program, driving trade studies and system-of-systems analysis to balance performance, cost, and schedule, overseeing integration and test campaigns, from bench-level hardware-in-the-loop (HIL) to flight test, and ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards.

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, 8+ years of relevant aerospace/defense experience, with at least 5 years in mission systems integration, demonstrated experience with aircraft payloads, avionics, and/or weapons integration, and working knowledge of Government modular open system approach (MOSA) standards to include open mission systems (OMS), Government Reference Architectures (GRA) or modular avionics standards.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D
• 2+ years of people leadership experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.

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Navigation System Architecture & Design:

Establish navigation performance requirements and error budgets for safety-critical applications. Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components. Design detailed software architecture for state estimation implementations, including module interfaces and data flow.

Algorithm Development & Implementation:

Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches. Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms. Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments. Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems. Implement integrity monitoring and protection level calculations for safety-critical operations.

Certification & Verification:

Develop verification and validation test plans for navigation algorithms. Conduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation. Document navigation system design, requirements allocation, and compliance evidence. Support safety assessment activities including failure modes and effects analysis.

Technical Leadership:

Provide technical guidance on navigation architecture and state estimation approaches. Support trade studies evaluating navigation sensor suites and fusion strategies. Mentor junior engineers on state estimation theory and implementation.

Required qualifications:

• MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field
• 15+ years of experience developing state estimation algorithms for aerospace navigation applications
• Demonstrated experience implementing GNSS/INS integration solutions
• Experience with safety-critical system development and certification processes
• Deep understanding of state estimation theory
• Experience implementing multi-sensor fusion algorithms in production systems
• Strong background in inertial navigation, GNSS positioning, and sensor error modeling
• Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis
• Understanding of integrity monitoring, protection levels, and safety assessment methods
• Experience with requirements management and verification/validation processes for certifiable systems
• Understanding of GPS/GNSS signal structure, error sources, and performance characteristics
• Knowledge of IMU error models, calibration, and Allan variance analysis
• Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.)
• Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)

Preferred qualifications:

• PhD in relevant field with focus on state estimation or navigation
• Direct involvement in certified navigation system development from requirements through flight test
• Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.)
• Publications or patents in navigation or state estimation
• Experience with GPS/GNSS jamming and spoofing mitigation techniques
• Clearance eligible or active security clearance

The salary for this position is $270,000 - $400,000 a year.

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Rezo Therapeutics is a biopharma company developing a disease-agnostic, fully-integrated, network biology platform to redefine the understanding of human disease and ability to treat it. Located in San Francisco's vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.

The Opportunity

We are hiring a Senior Scientist, Discovery Biology to join Rezo's Biology Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics, structural biology, and AI to tackle challenging biological questions and develop transformative therapies.

Key Responsibilities:

• Develop and optimize molecular and cellular assays to study protein function in 2D/3D tumor models.
• Design and execute CRISPR-based genetic studies to evaluate target function and therapeutic potential.
• Develop and conduct cell-based functional assays to profile small molecule drugs and inform structure-activity relationships (SAR).
• Analyze experimental data, interpret findings, and prepare reports for internal discussions, regulatory filings.
• Collaborate across interdisciplinary teams and effectively communicate scientific results.
• Manage multiple projects efficiently in a dynamic and fast-paced setting.

Qualifications:

• PhD in cancer biology, or a related field with relevant postdoctoral or industry experience.
• Candidates with a Master’s or Bachelor’s degree with 10-12+ years of expertise, including CRISPR technologies and cancer research, are also encouraged to apply.
• Strong hands-on experience with 2D/3D tumor models and molecular biology techniques.
• Proficiency in genetic manipulation of cancer cells, including CRISPR/Cas9, RNAi, and other genome-editing tools.
• In-depth knowledge of the molecular and cellular mechanisms driving oncogenesis.
• Skilled in performing immunoblotting, proliferation/apoptosis assays, and phenotypic screening assays.
• Proven ability to work independently while fostering collaboration in a team environment.
• Excellent organizational, communication, and interpersonal skills.

Additional Information

Compensation at Rezo

The expected starting salary range for this position based in San Francisco, California for Sr. Scientist is $135,000-$190,000. Actual starting salary will be determined based on multiple job-related factors including candidate’s skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity.

Benefits at Rezo

Medical (HMO or PPO), dental, and vision insurance Discretionary time off policy Company holidays (including summer and winter shutdown) 401(k) retirement savings program Commuter / Mass Transit Benefit Program Healthcare Flexible Spending Account (FSA) Dependent care Flexible Spending Account (FSA) Parental leave Competitive compensation Flexible work schedule

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Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.

Responsibilities

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams.

About You

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You’re an expert with PyTorch or JAX. • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don’t need roadmaps: you just do. You don’t need a manager: you just ship. • Low-ego, collaborative and eager to learn. • You have a track record of success through personal projects, professional projects or in academia.

Benefits

• Competitive cash salary and equity • Health Insurance • Sport: $90 for gym membership allowance • Food: $200 monthly allowance for meals (solution might evolve as we grow bigger) • Transportation: $120/month for public transport or Parking charges reimbursed

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The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

Key responsibilities include:

• Independently pursuing cutting-edge research in AI applied to biological problems
• Building new models or fine-tuning existing models to identify biological changes resulting from disease
• Building models that achieve high accuracy and that generalise robustly to new data
• Applying contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms
• Working closely with ML Engineering partners to ensure that Freenome's computational infrastructure supports optimal model training and iteration
• Taking a mindful, transparent, and humane approach to your work

Requirements include:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modelling techniques
• Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modelling
• Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks
• Practical and theoretical understanding of DL models like large language models or other foundation models
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations
• A passion for innovation and demonstrated initiative in tackling new areas of research

Nice to have qualifications include:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models
• Experience in NGS data analysis and bioinformatic pipelines
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems

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Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.

As a successful candidate, you will apply your world-class machine learning skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future machine learning research, and actively participating in the application of our platform to the accelerated design of new therapeutics.

Key Responsibilities

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Provide leadership, technical guidance, and mentorship to other machine learning and data science FTEs and interns.
• Help set strategy for future machine learning research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.
• Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
• Maintain an in-depth understanding of the current state-of-the-art in machine learning-driven protein engineering, both in the literature and at BigHat.
• Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
• Provide machine learning expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize machine learning methods development accordingly.

Skills, Knowledge & Expertise

• PhD in machine learning/computer science or in the hard sciences with 5+ years experience post-graduation in developing and applying novel machine learning methods, and a strong quantitative background.
• Publications in major machine learning conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel machine learning in industry.
• Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
• Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
• Enjoys a fast-paced environment and excels at executing across multiple projects.
• Familiarity with the current state-of-the-art in machine learning-driven protein engineering
• Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.

Benefits

The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

What BigHat Offers:

• Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
• Dental, and vision coverage through Guardian
• Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
• 401(k) with company match
• DTO, two weeks of company-wide shutdown, and 12 company holidays
• Paid parental leave

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As a distributed systems engineer at Alluxio, you will be responsible for evolving the state-of-the-art Alluxio project. The work would involve solving challenging problems in the area of Distributed Data Services, Memory and data structure efficiency, Thread concurrency and locking optimizations, process coordination and caching policies and implementation.

The role would include developing innovative solutions for scaling systems to thousands of nodes and providing Data Durability and High Availability.

You will be part of a team that includes leaders, innovators, explorers, and risk-takers with extensive industry experience from top tech companies including Google, Palantir and VMWare and alumni from top computer science programs including CMU, Stanford and UC Berkeley.

We are looking for someone with a BS degree in Computer Science, similar technical field of study or equivalent practical experience. You should have software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, or Go.

Experience working with two or more from the following is a must: distributed and parallel systems, distributed storage systems, architecting large scale software systems, and/or security software development.

Excellent analytical and problem solving skills are required. Working proficiency and communication skills in verbal and written English are also necessary.

Preferred qualifications include a Master’s, PhD degree, further education or equivalent practical experience in engineering, computer science or other technical related field. Experience designing, developing, and deploying Kubernetes applications is also desirable.

If you are interested in contributing to an open source project and want to work in a fast-paced, collaborative and iterative programming environment, please apply.

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You will develop subject matter expertise and industry knowledge through hands-on projects and collaboration with product development teams. You will translate customer requirements into new product features, test new releases, and develop application best practices. You will support field and digital marketing initiatives, author conference presentations, and contribute to consulting services and training classes.

As an Application Engineer, you will empower customers to solve complex engineering challenges with advanced simulation solutions. You will drive the adoption of Synopsys and Ansys products in customer workflows, expanding business opportunities. You will enhance the product portfolio by translating real-world needs into innovative features. You will establish Synopsys as a trusted partner through expert technical support and consulting.

You will contribute to the growth and reputation of the Customer Excellence team in Japan and beyond. You will advance industry standards by sharing knowledge and best practices in conferences and training sessions.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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Your responsibilities will include conducting introductory, intermediate, and advanced training sessions for customers, and scoping/delivering professional services projects. You will also gather customer requirements and market trends to inform improvements to Ansys software, collaborate with product development teams to translate feedback into new features, and test new software releases on real-world industrial problems and provide feedback to enhance product performance and usability.

In this role, you will participate in internal initiatives to share knowledge, establish best practices, and develop simulation solutions and FAQs for the knowledge base. You will work closely with customers, sales, and product development to drive innovation and ensure success.

As an Optical Applications Engineer, you will have the opportunity to elevate customer satisfaction and productivity by delivering timely, high-quality technical support and solutions. You will drive adoption of Ansys Lumerical tools and support software revenue growth through expert pre-sales and post-sales engagement. You will empower customers to innovate and validate their designs faster and more accurately with advanced simulation software.

If you are a passionate engineer with a deep understanding of optics and photonics, eager to solve challenging engineering problems and make a significant impact in the industry, we encourage you to apply for this exciting opportunity.

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, powering self-driving cars, cloud infrastructure, and learning machines.

You Are:

A Staff-level analog/MS engineer who owns complex designs end-to-end, influences architecture, and mentors others. You balance performance, reliability, and schedule in advanced CMOS and communicate clearly across teams.

If you are excited by the prospect of shaping high-speed connectivity in AI, cloud, automotive, and beyond - and you seek to empower some of the world's most advanced systems - this role is your opportunity to make a meaningful impact.

What You'll Be Doing:

• Taking end-to-end ownership of critical analog and mixed-signal blocks in high-speed SERDES designs
• Making architectural and circuit-level tradeoffs to optimize power, performance, area, and reliability
• Defining, verifying, and documenting testbenches for rigorous pre-silicon validation
• Leading custom analog layout coordination, ensuring parasitic awareness and post-layout optimization
• Driving robustness and quality sign-off processes, including PVT, mismatch, aging, reliability, and yield analysis
• Aligning system-level interfaces and usability considerations for seamless integration
• Executing silicon bring-up, characterization, and correlation against design specifications
• Providing technical leadership, mentorship, and guidance within a collaborative, multidisciplinary team

What You'll Need:

• MS/PhD in Electronics/Computer Engineer or equivalent; typically 7+ years or equivalent Staff-level impact
• Deep analog/MS in deep sub-micron CMOS; signal integrity/noise/jitter
• Proven architecture tradeoffs and production silicon experience
• Strong custom analog layout collaboration; post-layout optimization
• Excellent communication; ability to influence across teams

The Team You'll Be A Part Of:

You will join the IP and System Solutions Group, a cornerstone of Synopsys' mission to enable the industry's most advanced silicon. The SERDES team is renowned for developing high-speed interface IP, deployed across a wide range of applications and technology nodes. This multidisciplinary group collaborates closely to deliver high-performance, power-efficient chips, optimizing power, performance, and area (PPA) while accelerating time-to-market. You'll work alongside experts in architecture, circuit design, layout, and system integration, fostering innovation and excellence in every project.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Key responsibilities include:

• Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone
• Improving Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness
• Developing and executing experimental plans to address known gaps or construct entirely new capabilities

To succeed in this role, you should have a PhD in Computer Science or a related field, significant LLM post-training experience, and a track record of publications at top conferences. Experience in reward modelling and reinforcement learning for LLMs instruction tuning, long-range reinforcement learning, safety, fairness, and alignment is an advantage.

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This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.

Key Responsibilities

• Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams.
• Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams.
• Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.
• Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.
• Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues.
• Coordinate with vendors for product testing and report on key findings to the engineering and product teams.
• Manage compute resources for modeling efforts and support team infrastructure needs.
• Act as a point of contact for resolving technical issues for the team.

About You

To be successful as a Technical Program Manager at DeepMind, we look for the following skills and experience:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in a technical program management role in a research environment.
• Experience working with machine learning models, data pipelines, and evaluation processes.
• Strong analytical skills and experience with data analysis.

In addition, the following would be an advantage:

• Master’s degree or PhD in Computer Science or a related technical field.
• 8+ years of relevant work experience in a technical environment.
• Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics.
• Experience working with modeling research teams, including managing model training and deployment processes.
• Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority.
• Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R&D environments.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits.

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To succeed in this role, you will need a PhD in a technical field or equivalent practical experience, knowledge of the latest in large machine learning research, and experience working with real-world robots. Expertise in using large datasets with deep neural networks to make real robots useful is also an advantage.

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The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe's solution and growth suite for platforms and marketplaces).

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention.

Responsibilities:

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team.
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Requirements:

• PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• At least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• Demonstrated expertise in designing metrics and guiding business decisions with data.
• Technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• Managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• Work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• Clear and persuasive communication skills in writing and verbally.
• Thrive on a high level of autonomy and responsibility.
• Foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Requirements:

• Comfortable working with geographically distributed teams.
• Expertise in time series forecasting, predictive modeling, or optimization.
• Expertise in data design and building scalable data architectures.

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At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. This role offers the unique opportunity to address a historically underserved but increasingly critical area in the advancement of AI.

Responsibilities:

• Decide the precision, numerics, and sparsity formats used by key Google AI models and ensure these decisions are reflected in the roadmaps for corresponding hardware.
• Drive novel research advancements and bring the most impactful ideas into production.

About You:

To set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science or related field with at least 2+ years of relevant experience.
• Strong software-engineering skills in addition to a research background.
• Deep understanding of the numerics/quantization/sparsity literature.
• Practical experience driving low precision and sparse models through to production.

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As a Chemist in the Responsible Development & Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.

This role is pivotal in deciding when and how our most advanced AI systems are released to the world.

You will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.

In this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.

Key Responsibilities:

• Architect of Safety Evaluations: Build rigorous, scalable frameworks to evaluate model proficiency in overcoming key bottlenecks in CWA precursor acquisition, chemical synthesis, and weaponisation.
• Strategic Advisory: Analyse evaluation results to brief executive decision-makers on model safety, directly influencing deployment 'Go/No-Go' decisions.
• Harm Framework Innovation: Refine our internal safety taxonomies to account for emergent risks at the intersection of general AI and specialist models like AlphaFold.
• Collaborative Mitigation: Partner with Research Engineers to revise mitigation strategies and refine harm frameworks for identified chemical risks. Work with other SMEs in the chemical, biological, radiological, nuclear, and conventional explosive domains to build a unified defence against CBRNE-related risks.
• External Engagement: Stay abreast of global chemical security trends and international non-proliferation policy through engagement with external international, governmental, and non-governmental organisations.

About You:

You are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.

Minimum Qualifications:

• Chemistry Expertise: PhD in synthetic organic chemistry with at least two years post-doctoral or equivalent experience.
• Publication Record: Proven experience publishing as a first author in high-impact general science or chemistry-specific journals, and presenting work at international chemistry conferences. Classified or internal reporting experience will be considered in lieu of public records for candidates from roles in national security.
• Security Domain Expertise: Comprehensive understanding of the Chemical Weapons Convention (CWC) and other national and international CWA agreements/treaties, chemical defence protocols, and the landscape of dual-use research in the chemical domain.
• Systems Thinking: The ability to translate high-level chemical risks into technical requirements for AI safety.
• Communication Excellence: A proven ability in distilling complex technical findings into clear, actionable advice for non-specialist stakeholders.

Preferred Experience:

• Knowledge of CWA defence, including synthesis, detection, and countermeasures.
• Direct experience with CBRNE mitigation, non-proliferation, or relevant international security stakeholders.
• Familiarity with the machine learning lifecycle and AI Safety Frameworks.
• Experience using and/or developing computational chemistry tools (e.g., AlphaFold, retrosynthesis engines, etc.).
• Working knowledge of the Frontier Safety Framework (FSF), Critical Capability Levels (CCLs), and similar documents published by other leading AI labs.
• Understanding of Google DeepMind AI research output (e.g., AlphaFold, GNoME, WeatherNext, etc.), and AI products (e.g., Gemini, Nano Banana, Genie, etc.).
• Passion for the ethical deployment of frontier technologies and AI policy.

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Our team is focused on ensuring safe humanoid robot actions spanning agentic reasoning, HRI scenarios, and physical safety with VLA models. As a Research Scientist, you will design, implement, train, and evaluate large models and algorithms for humanoid robots. You will make breakthroughs and unlock new humanoid safety capabilities, including algorithmic and model development to improve a robot agent's understanding of its own embodiment and VLA capabilities.

You will write software to implement research ideas and iterate quickly. You will leverage your expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots, and more.

You will work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. You will generate creative ideas, set up experiments, and test hypotheses. You will report and present research findings clearly and efficiently both internally and externally.

To be successful as a Research Scientist at Google DeepMind, we look for PhDs in technical fields or equivalent practical experience. You should have knowledge of the latest in large machine learning research and experience working with real-world robots. Expertise with a subset of the following topics would be an advantage: Humanoid Whole Body Control, Vision Language Action models, Motion Planning, Force Control, AI Safety, Diffusion Policies, World Models, Imitation Learning, and Reinforcement Learning.

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits.

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We're looking for a versatile Research Scientist to join our Gemini Safety team at Google DeepMind. As a Research Scientist, you will be responsible for applying and developing data and algorithmic cutting-edge solutions to advance the safety and fairness behavior of our latest user-facing models.

The Gemini Safety team is accountable for the safety and fairness behavior of GDM's latest Gemini models. Our team focuses on advancing the safety and fairness behavior of state-of-the-art AI models, driving the development of foundational technology adopted by numerous product areas, including Gemini App, Cloud API, and Search.

Key Responsibilities:

• Post-training/instruction tuning state-of-the-art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini Models are safe, maximally helpful, and work for everyone
• Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Design and maintain high-quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness
• Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
• Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

About You:

• PhD in Computer Science, a related field, or equivalent practical experience
• Significant LLM post-training experience
• Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
• Experience with Long-range Reinforcement learning
• Experience in areas such as Safety, Fairness, and Alignment
• Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
• Experience taking research from concept to product
• Experience with collaborating or leading an applied research project
• Experience with JAX

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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Key responsibilities include researching post-training methods such as reinforcement learning and self-supervised training for information-seeking scenarios in Gemini, developing novel evaluation methods for improving model quality, grounding, and factuality, and researching orchestration of tool calls and improved retrieval methods for information-seeking scenarios.

To succeed in this role, you should have a PhD in a relevant area or an equivalent research/publication record, strong software-engineering skills, and experience in reinforcement learning, post-training methods, and LLMs for information-seeking scenarios.

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In this role, you will make key contributions to the latest research developed in the Gemini audio pillar, including:

Unlocking new audio capabilities within the model, both in pre-training and post-training. Improving quality of models for understanding and generation, including research to improve our tokenizers, better techniques for generation quality, and looking at joint audio and visual representations. Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.

To succeed in this role, you should have a PhD in Computer Science, Computer Vision, Speech Processing, or Machine Learning related field, experience working with LLMs, and audio or video understanding and/or generation experience. A proven track record of research and publications in areas such as audio generation, video generation, LLMs, and a real passion for AI are also advantages.

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We are seeking 2 Research Engineers for the Frontier Safety Risk Assessment team within the AGI Safety and Alignment Team.

As a Research Engineer, you will contribute novel research towards our ability to measure and assess risk from frontier models. This might include:

• Identifying new risk pathways within current areas (loss of control, ML R&D, cyber, CBRN, harmful manipulation) or in new ones;
• Conceiving of, designing, and developing new ways to measure pre-mitigation and post-mitigation risk;
• Forecasting and scenario planning for future risks which are not yet material.

Your work will involve complex conceptual thinking as well as engineering. You should be comfortable with research that is uncertain, under-constrained, and which does not have an achievable “right answer”. You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases. Lastly, you should be able to adapt to pragmatic constraints around compute and researcher time that require us to prioritise effort based on the value of information.

Although this job description is written for a Research Engineer, all members of this team are better thought of as members of technical staff. We expect everyone to contribute to the research as well as the engineering and to be strong in both areas.

The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R&D and loss of control as risk domains are likely the most valuable.

About You

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• You have extensive research experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).
• You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.
• You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between “immediately” and “a few years”.
• You are excited to work with strong contributors to make progress towards a shared ambitious goal.
• With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background.

In addition, any of the following would be an advantage:

• Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment.
• Engineering experience with LLM training and inference.
• PhD in Computer Science or Machine Learning related field.
• A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI.
• Experience with collaborating or leading an applied research project.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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As part of the Solutions Architecture team, we work with some of the most exciting computing hardware and software technologies including the latest breakthroughs in machine learning and data science. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA's most strategic technology customers as well as work directly with business and engineering teams on product strategy.

What you will be doing:

• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's ML/DL and data science software and hardware technologies

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

• Build custom PoCs for solution that address customer's critical business needs applying NVIDIA hardware and software technology

• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions

• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues

What we need to see:

• 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience

• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.

• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure

• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments

• Ability to use at least one scripting language (i.e., Python)

• Good programming and debugging skills

• Ability to communicate your ideas/code clearly through documents, presentation etc.

Ways to stand out from the crowd:

• AWS, GCP or Azure Professional Solution Architect Certification.

• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)

• System-level experience specifically GPU-based systems

• Experience with Deep Learning at scale

• Familiarity with parallel programming and distributed computing platforms

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What you'll be doing:

• Lead the design, automation, and validation of System Level Tests (SLT) for HVM (High Volume Manufacturing) for complex, high power, high speed SOCs.
• Develop and integrate test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals.
• Partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.
• Drive custom SLT development to optimize system performance, power efficiency, and test coverage.
• Oversee handler selection, enablement, and hardware integration – including PCB design, socket selection, and temperature control systems.
• Improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes.
• Collaborate closely with OSATs on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.
• Support silicon qualification and reliability testing (HTOL, Burn in) at the system level.

What we need to see:

• MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering (or equivalent experience).
• 12+ years of experience in Systems level test, systems validation, and/or bench testing.
• Experience in new silicon bring up at the system level.
• Experience in driving SLT testing and deployment for HVM.
• Experience with testing and characterization of high power SOCs and High Speed I/Os.
• Knowledge of network topology and experience in network connectivity.
• Proficient in C#, C/C++, PERL, Python, .NET framework.
• Experience in Security provisioning and knowledge of fuse programming implementation.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Your primary responsibilities will include developing and integrating test flows, scripts, and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals. You will also partner with system architecture, chip design, and validation teams to define and deliver production-ready SLT and HVM test solutions.

In addition, you will drive custom SLT development to optimize system performance, power efficiency, and test coverage. You will oversee handler selection, enablement, and hardware integration, including PCB design, socket selection, and temperature control systems.

You will also improve manufacturing test quality by enhancing test correlation, yield, and reliability across NPI, HVM, and RMA processes. You will collaborate closely with Original Design Manufacturers (ODMs) on production enablement, sustaining, yield analysis, and DPPM reduction initiatives.

Finally, you will support silicon qualification and reliability testing (HTOL, Burn-in) at the system level.

To be successful in this role, you will need to have a strong understanding of electrical engineering principles, including signal integrity, data handling, and reporting. You will also need to have experience with lab equipment and measurement techniques for high-speed interfaces using high-speed scopes, probes, spectrum analyzers, BERTs, etc.

Additionally, you will need to have strong problem-solving skills, good communication skills, and the ability to work cooperatively in a team environment.

If you are a motivated and experienced Senior Post Silicon Validation Engineer looking for a new challenge, please apply today!

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Requirements

• Essential Skills:
• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• A second major European language at C2 level is an advantage
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Skills and Qualifications:

Essential Skills:

• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills (English & a second major European language at C2 level)
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now._

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category Engineering

Hire Type Employee

Job ID 15017

Remote Eligible No

Date Posted 02/11/2026

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, IP integration, and engineering simulation empowering the creation of high-performance silicon chips and systems. Join us to transform the future through continuous technological innovation.

You Are: You are a highly motivated engineering professional with a passion for customer engagement and technical excellence. With several years of experience in the high-tech or electronics industry, you bring a strong foundation in simulation, analysis, and engineering software. You thrive in collaborative environments, actively listen to customer needs, and translate technical challenges into actionable solutions. Your business acumen allows you to align technical strategies with client goals, ensuring their continued success and satisfaction. You are comfortable interfacing with a diverse range of stakeholders, from technical engineers to C-level executives, adapting your communication style to suit the audience. You have a proven track record of managing multiple projects simultaneously, demonstrating exceptional organizational and time management skills. Your proactive approach, sense of urgency, and logical problem-solving abilities enable you to drive impactful outcomes. You are eager to grow, learn, and contribute to a team that values innovation and continuous improvement. Whether working independently or as part of a cross-functional group, you are committed to delivering excellence and fostering lasting relationships. Your familiarity with Synopsys (Ansys) simulation tools, CAE/CAD/EDA/PLM software, and background in electronics, high-frequency or semiconductor domains gives you an edge in mapping customer requirements to cutting-edge solutions. You are ready to travel as needed, bringing your expertise directly to clients and partners, and supporting Synopsys’ vision for technology proliferation and customer success. We are open to consider candidate working from Bangalore only.

What You’ll Be Doing:

• Establishing long-term, sustainable relationships with assigned accounts by aligning Synopsys (Ansys) Simulation & Analysis (S&A) solutions with client business initiatives and acting as their single point of contact for all technical activities.

• Collaborating with Global Technical Account Managers and Enterprise Account Managers to identify, plan, and prioritize strategic technical activities in the region to achieve sales goals.

• Mapping customer technical requirements to Synopsys S&A solutions, leveraging expertise in the high-tech industry vertical.

• Coordinating with presales, technical support, services, training, and development teams to execute growth plans and expand Synopsys’ footprint at key accounts.

• Reviewing technical support activities, ensuring quality goals are met, and coaching technical staff with local Sales & Engineering managers.

• Facilitating communication between accounts and Synopsys Development teams to address defects, enhancement requests, and product improvements.

• Supporting account-based marketing strategies to drive technology adoption, deployment, and partner solution integration.

• Contributing to field-factory interlock for product enhancement and competitive solution positioning.

• Driving opportunity qualification and technical campaigns for complex engagements, advising on market sizing initiatives.

• Traveling domestically to engage with customers and support regional activities up to 25-50% of the time.

The Impact You Will Have:

• Strengthen customer trust by acting as their dedicated technical advisor, ensuring their goals are met with Synopsys solutions.

• Directly contribute to account growth by identifying new opportunities to displace competition, add products, and expand user adoption.

• Enhance the quality of technical support and customer experience, leading to higher satisfaction and retention rates.

• Drive innovation by relaying customer feedback and enhancement requests to Synopsys development teams for continuous product improvement.

• Advance Synopsys’ position in the high-tech industry through strategic technical engagements and successful technology proliferation campaigns.

• Foster a collaborative environment by connecting regional technical, training, and consulting teams to execute impactful activities.

• Promote Synopsys’ brand as a leader in simulation and analysis, strengthening market presence and competitive advantage.

• Enable customers to achieve their business objectives through tailored technical solutions and ongoing support.

What You’ll Need:

• Bachelor’s, Master’s, or PhD in Electrical, Mechanical, Thermal Engineering or related field (BS+5, MS+3, or PhD+0 minimum years of relevant experience).

• Strong knowledge and practical experience with Synopsys (Ansys) simulation tools or other commercial CAE, CAD, EDA, PLM software packages.

• Proven understanding of Synopsys (Ansys) products and their application in the high-tech industry.

• Logical problem-solving skills with the ability to analyze complex technical challenges and deliver effective solutions.

• Excellent interpersonal and communication skills, fluent in English (written and spoken).

• Strong organizational and time management abilities, with a demonstrated sense of urgency.

• Professional image and business acumen, with a drive to succeed in customer-facing roles.

• Ability to travel domestically up to 25-50% of the time, depending on account needs.

Who You Are:

• Collaborative team player, comfortable working across functions and geographies.

• Proactive, detail-oriented, and adaptable to fast-paced environments.

• Customer-centric mindset with a passion for delivering outstanding experiences.

• Confident communicator, able to engage with stakeholders at all levels including senior business managers and executives.

• Flexible, resilient, and solution-driven, with a continuous learning attitude.

• Possesses strong business insight and technical curiosity.

The Team You’ll Be A Part Of:

You will join a dynamic and diverse Technical Account Management team in the S&A Customer Excellence organization, focused on driving customer success and technology adoption across the high-tech and semiconductor industry. You will work with global account managers, regional sales, engineering, technical support, and development groups, leveraging collective expertise to deliver impactful solutions and foster innovation. Together, you will enable customers to unlock the full potential of Synopsys Simulation & Analysis products, building lasting partnerships and advancing industry standards.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15195

Base Salary Range

$181000-$272000

Remote Eligible

No

Date Posted

02/16/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are an accomplished engineering leader with a passion for advancing the frontiers of analog mixed-signal technology. With a deep understanding of memory and die-to-die interfaces, you thrive in environments where innovation meets real-world impact. You have a proven track record of architecting high-performance solutions, particularly in the realm of High Bandwidth Memory (HBM) interface design. You are committed to continuous learning, keeping pace with evolving technologies and industry trends. Your communication skills enable you to articulate ideas clearly and work effectively across sites and disciplines. Above all, you are driven by the opportunity to contribute to critical components powering AI systems, knowing your work has a lasting impact on the future of technology.

What You’ll Be Doing:

• Reviewing and integrating the latest multichip and interposer technologies from various foundries into Synopsys’ HBM PHY products.

• Defining bump maps and top-level floorplans for HBM PHY products to ensure optimal performance, power, and area (PPA).

• Collaborating with layout teams to deliver top metal covercells optimized for performance and reliability in HBM PHY designs.

• Working with layout and SIPI teams to design interposer geometries that maximize performance and signal integrity.

• Mentoring junior engineers and providing technical guidance across multi-site teams.

The Impact You Will Have:

• Elevate the performance and reliability of Synopsys’ HBM PHY products, directly contributing to the advancement of AI and high-performance computing systems.

• Enable successful integration of cutting-edge multichip and interposer technologies, ensuring Synopsys remains at the forefront of semiconductor innovation.

• Improve manufacturability and scalability of memory interface IPs, supporting the needs of leading semiconductor companies worldwide.

• Drive technical excellence across cross-functional teams, fostering collaboration and knowledge sharing.

• Enhance customer satisfaction by delivering robust, high-quality solutions that meet demanding market requirements.

• Support Synopsys’ reputation as a trusted IP provider through leadership, innovation, and problem-solving.

What You’ll Need:

• MS or PhD in Electrical Engineering or related field.

• 15+ years of experience in memory or die-to-die interface design.

• Expertise in floorplan optimization for IPs integrating full-custom analog and synthesized digital blocks.

• Strong experience with power grid design and EMIR analysis.

• Proficiency in interposer design and implementation.

• Solid understanding of analog principles and designs (bandgaps, LDO regulators, current mirrors, DLL/PLLs).

• Deep knowledge of signal-integrity and power integrity principles.

• Experience with layout impact on circuit performance and reliability.

• Ability to troubleshoot and debug memory interfaces effectively.

• Excellent communication and collaboration skills across multi-site teams.

Who You Are:

• A collaborative leader who inspires and guides teams to technical excellence.

• Detail-oriented, analytical, and able to balance multiple priorities.

• Innovative thinker, open to new approaches and emerging technologies.

• Effective communicator, capable of translating complex technical concepts for diverse audiences.

• Resilient and proactive in addressing challenges and driving solutions.

• Committed to continuous learning and professional growth.

The Team You’ll Be A Part Of:

You’ll join our High Bandwidth Memory interface design team, a group of passionate engineers dedicated to developing best-in-class IP for the world’s most advanced computing systems. Our team collaborates across multiple sites and disciplines, leveraging expertise in analog mixed-signal design, layout, and signal integrity to deliver innovative solutions that power the next generation of AI and high-performance devices.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You'll work across the entire lifecycle of features from early prototypes to production-grade systems and help define how millions of users interact with AI.

Responsibilities

LLM Feature & Agent Development

Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.

Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.

Prototype new capabilities rapidly and iterate based on user signals and evaluation data.

Evaluation, Hillclimbing & Quality Systems

Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.

Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance.

Analyse failure modes, design mitigations, and drive systematic improvements across the stack.

LLM Tooling & Internal Infrastructure

Develop internal tools for prompt experimentation, model comparison telemetry, and debugging automated eval pipelines.

Create reusable frameworks that accelerate the entire AI org's ability to ship high-quality assistant features.

Applied ML & Product Integration

Integrate LLMs with product surfaces, APIs, and backend systems.

Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.

Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.

High-Velocity Teamwork

Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity.

Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate.

Contribute to a culture of experimentation, clarity, and high-quality execution.

Qualifications

Required/minimum qualifications

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

Master's Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.

2+ years shipping production-level code, models, or data analysis.

1+ years using AI-assisted coding and analysis techniques.

Experience working on small teams and mid-stage startup environments.

Experience working on AI products.

PhD in engineering, applied math, statistics, or related analytical field.

4+ years shipping production-level code, models, or data analysis.

Deep experience building from zero-to-one.

Hands on work hillclimbing AI evaluations.

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Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities Visual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.

Multimodal & Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.

Scale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.

Strategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.

Responsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.

Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Mastery of Python and deep learning frameworks such as PyTorch or TensorFlow. Proven track record in Computer Vision (CV) or Multimedia Understanding, including work with large-scale visual datasets. Experience building and deploying live production systems at scale.

Preferred Qualifications: PhD focused on Computer Vision, Video Analytics, or Multimodal Learning. Experience with big data tools like Spark/PySpark and Azure Machine Learning. Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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We need people who think strategically and act pragmatically, who want to help shape the future, who identify with our values and outlook, and who are committed to our goals.

As a Senior Manager, you will be responsible for managing and controlling consulting projects in the space industry along the entire value chain ranging from satellite and launcher manufacturing to ground and service operators. You will inspire, holistic and multiple project management, e.g. to design and optimize operational workflows in manufacturing, testing, mission operations, or their support processes (e.g. supply chain, logistics, quality).

You will develop top line strategies around market entry (e.g. M&A, technology and engineering roadmaps) and new business models (e.g. satellite-as-a-service, space data monetization). You will drive knowledge development for internal and external purposes to maintain Porsche Consulting at the cutting edge in the space industry. You will take end-to-end responsibility for projects and provide support in project acquisition.

We offer a wide range of benefits, including:

• Retirement provision with the Porsche VarioRente, the Porsche Pension Plan, the MetallRente, and occupational disability insurance
• Flexible working time models, including remote working, flexible working hours, or sabbaticals
• Work & family programs, including childcare services, holiday childcare programs, parent networks, and a family support service
• Health promotion, including check-ups, vaccinations, ergonomic consulting, digital tools, and comprehensive support through our health management
• Purchase & leasing programs, including exclusive long-term leasing offers and special discounts on Porsche, Volkswagen, Audi, and Ducati models
• Employee meals, including a wide variety of subsidized meal options with fresh, seasonal, and regional dishes in modern cafeterias, as well as sustainable to-go options
• Mobility, including discounted Deutschlandtickets, bicycle leasing, and a comprehensive charging infrastructure for electric vehicles at our sites
• Employee discounts, including access to corporate benefits as well as discounts on Porsche lifestyle products, and convenient services like DHL parcel lockers

If you have any questions regarding your application at Porsche Consulting, please send an email to career@porsche-consulting.com. You can also use our FAQ section.

Would you like to receive even more exciting information and get to know us better? Then take advantage of our numerous recruiting events and career fairs.

Porsche Consulting bei LinkedIn

About Porsche:

Porsche Consulting GmbH is a leading management consultancy with over 800 employees worldwide, providing services to various industries including automotive, energy, and consumer goods. We are currently represented in six countries with 13 office locations. Our international and dynamic work environment offers you the opportunity to build a strong network and make valuable connections in the professional world. You can look forward to exciting responsibilities and challenging projects, as well as motivated and passionate colleagues across industries.

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We're looking for a Senior Manager (all genders) Aerospace – OEM Strategy to join our team. As a leading management consultancy, we help our clients shape the future of the aerospace industry. We're open to new ideas and welcome people who contribute and think for themselves.

Responsibilities:

• Management and control of consulting projects focusing on strategic challenges of OEMs and suppliers in the global markets for aircraft, passenger and cargo drones
• Design and implement creative solutions along the product lifecycle, i.e. streamlined product development and production processes, production rate and supply chain performance increase, value stream digitalization, and sustainability
• Inspiring, holistic and multiple project management, e.g. to transform functional perimeters and entire companies towards customer centric thinking and efficient end-to-end processes and organizations
• Designing innovative consulting products, tapping into new client segments, and providing support in project acquisition
• Foster the strong international aerospace community including specific knowledge development

Requirements:

• Master’s degree in economics or aerospace engineering, ideally supplemented by MBA or PhD
• Several years of professional experience in strategy consulting with a focus on aerospace — ideally supplemented by line or management experience in the international aerospace industry
• Well-founded knowledge in strategy development and implementation as well as process and organizational design
• High process understanding along the entire value chain
• Practical experience in project management — from defining objectives to team composition, task differentiation, and team leadership to success tracking and successful project completion
• Fluent English and German, further languages are favorable
• High willingness for domestic and international travel

What we offer:

• Comprehensive and flexible retirement and insurance options
• Flexible models such as remote working, flexible working hours, or sabbaticals
• A wide range of programs supports the balance between work and family
• We take a holistic approach to health care
• Appealing options for purchasing or leasing vehicles
• A wide variety of subsidized meal options
• We promote sustainable mobility
• Employees have access to corporate benefits as well as discounts on Porsche lifestyle products

Do you still have questions?

If you have any questions regarding your application at Porsche Consulting, our recruiting center will be happy to answer them for you. Please send an email to career@porsche-consulting.com. You can also use our FAQ section.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviours and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors.

In this role, you will:

• Design and execute capability evaluations ('evals') to assess the capabilities of new models
• Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimising for both robustness against adversarial attacks and low false-positive rates for legitimate researchers
• Analyse safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

You may be a good fit if you have

• A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience
• Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern biology, including both 'reading' (e.g. high-throughput measurement, functional assays) and 'writing' (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology
• Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve

Preferred Qualifications

• Background in AI/ML systems, particularly experience with large language models
• Experience in developing ML for biological systems
• Extensive experience in complex projects with multiple stakeholders

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and process improvements.

What we offer

• Competitive salary and equity package

• Opportunity to work with a talented team of engineers and researchers

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Flexible work arrangements

• Comprehensive benefits package

• Access to cutting-edge technology and resources

How to apply

If you are a motivated and talented individual who is passionate about AI and life sciences, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are a strong fit for this role.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

Responsibilities

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Requirements

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validat

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