As a critical member of the US Medical Affairs team, you will be responsible for providing scientific leadership, external engagement, and cross-functional influence to advance evidence generation, medical education, and development of medical affairs strategy to support commercialization strategic plans of the portfolio.

Key responsibilities include:

• Overseeing US medical affairs strategy and contributions into the Bayer pipeline portfolio in collaboration with medical directors and in alignment with the VP of Specialty and Pipeline TA.
• Providing input, appropriate to the Phase of development of a product to ensure US perspective and needs are incorporated into development strategy.
• Active participation and effective collaboration with global teams to assure the efficient and expedient conduct of clinical development programs, aligning them with strategic priorities that support appropriate US direction of the Life Cycle Management strategy.
• Working collaboratively with US New Product Commercialization, Market Access and US regulatory teams to provide expert medical input into strategic plans.
• Serving as a member of Product Team and/or Clinical Strategy Team leadership of multiple assets in different therapeutic areas.
• Supporting development and execution of the US medical strategy, offering critical inputs during design and throughout the end-to-end execution of programs, in alignment with senior medical leadership.
• Collaborating cross-functionally with Global Evidence Generation, Clinical Development, Regulatory, Commercial and other medical affairs partners to develop and implement the Integrated Evidence Plans to improve the value proposition for the portfolio.
• Contributing to publication planning, data interpretation, and scientific dissemination in the US.
• Providing medical scientific input for brand and program documents, including integrated disease area plans, medical information documents, drug safety reporting documents, etc, while ensuring design and execution of all medical activities are according to internal and external compliance guidelines.
• Monitoring and understanding implications of evolving competitor landscape to inform medical strategy.
• Supporting completion of annual New Drug Application (NDA) reports for respective brands through evaluation of clinical data and literature and provide US Medical Affairs input in the preparation of key medical documents for INDs and NDAs.

Additionally, you will:

• Develop and guide local Thought Leader (TL) engagement strategy, together with cross-functional partners.
• Serve as the US medical expert engaging thought leaders, academic institutions, medical societies, and patient advocacy groups to advance scientific leadership and collaboration.
• Lead and support advisory boards, including agenda development, faculty engagement and synthesis of insights to help inform medical strategy.
• Represent US Medical Affairs at major congresses, symposia and scientific forums.

To be successful in this role, you will need:

• An M.D. or D.O. degree.
• Agility and ability to flex into different therapeutic areas.
• Clinically relevant work experience or independent research experience or equivalent or experience in a pharmaceutical related industry.
• Experience working in or deep understanding of in-hospital consideration in US healthcare delivery.
• Deep understanding of clinical trial design, analysis and interpretation as well as the principles of observational studies and health economics/ outcomes research.
• Robust understanding of regulatory and market access considerations and triangulating those to implications on clinical trial design and clinical care delivery.
• Proven ability for strategic planning along with operations skill and experience related to clinical research involving both single and multiple centers.
• Strong ability to quickly build meaningful and trusting relationships, both internally and externally to the organization.
• Understanding of the drug development process over different stages.
• Strong ability to connect and collaborate across different functions and background, both internally and externally to the organization.
• Innate ability to lead others without formal authority, with demonstrated experience guiding teams from design to implementation of strategic initiatives.
• Excellent communication skills, both verbal and in written.
• Willingness and ability to travel as business dictates, both for internal and external functions.

Preferred qualifications include:

• Board certification or board eligibility in cardiovascular, neurology, critical care medicine.
• 7 years work experience in the pharmaceutical sector in Medical Affairs, Clinical Development or related positions.
• Experience in the field of medical support of a product portfolio across multiple therapeutic areas.
• Experience in leading and participating in teams across cultures and geographies, prior experience in global medical launch planning activities.

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In this dynamic role, the Global Medical Head, Obesity for our injectables portfolio (SARA and GLP1/GCGR agonists) provides medical leadership across the entire product lifecycle. The role leads a team of talented medical professionals, advises on Research and Development investment decisions, drives pre-launch scientific efforts, and accelerates evidence-based healthcare changes in the real world. Networking and influencing skills are crucial to facilitate cross-functional collaboration and drive innovation.

Ready to take on this challenge? This highly experienced Medical Affairs leader brings validated vision and impact to shape product and disease area strategy, build capability, drive product launches and life cycle management, provide strategic direction for evidence generation, education and publication, and engage extensively externally to further the scientific leadership of AstraZeneca.

Reporting directly to the Medical Head of Weight Management and T2D within Medical Affairs Cardiovascular Renal Metabolism (CVRM), this critical strategic leadership position sits on global product and brand teams and leads a global medical team. A strong network with regions and countries will be developed, pairing unique medical expertise with insight from markets, healthcare professionals, patients and health systems to design and implement world-class medical strategies globally.

Through this leadership, the role helps build a world-class obesity capability within AstraZeneca, enabling outstanding product launches, practice-defining clinical studies, generation of real-world evidence, transformation of health systems and, ultimately, acceleration of population health.

Responsibilities

• Provide enterprise leadership by building and leading the global CVRM BPM obesity team, partnering with key stakeholders internally and externally to deliver an integrated medical strategy for the injectables portfolio.

• Set strategic vision and direction by developing, integrating and implementing global strategic medical plans that span early development through launch and life cycle management for SARA and GLP1/GCGR agonists.

• Drive external scientific engagement by defining and driving an ambitious engagement agenda with key external authorities, scientific societies, patient organisations and health system partners to shape healthcare practice in obesity.

• Lead launch excellence, performance management and life-cycle optimisation by defining clear benchmarks, identifying new opportunities in disease state understanding, and ensuring competitive, evidence-based medical plans that anticipate current and future needs.

• Develop evidence generation strategy across clinical development, real-world evidence and health economics to address unmet needs in obesity management, advise guidelines and support access decisions.

• Guide scientific communication, education and publication planning to ensure robust dissemination of data that advises clinical practice and positions AstraZeneca as a trusted scientific partner.

• Act as a key partner across Research and Development and Commercial functions to influence investment decisions, advise brand strategies and ensure alignment between scientific innovation and real-world medical practice.

• Champion cross-functional collaboration across geographies, enabling knowledge sharing, capability building and consistent execution of global medical strategies at regional and local levels.

Essential Skills/Experience

• Sophisticated Scientific Degree (MBBS, PharmD, PhD, or MD) or equivalent education with substantial clinical or research experience relevant to obesity or cardiometabolic disease.

• A minimum of 7 years of experience in the pharmaceutical industry, ideally in Medical Affairs, working at the country and global/regional level.

• Experience leading the global CVRM BPM obesity team, partnering with key stakeholders internally and externally.

• Experience with the development, integration, and implementation of strategic medical plans at a global level.

• Experience driving a bold external engagement agenda, forming strategic alliances and partnerships that can shape healthcare and best practices in the obesity therapy area.

• Experience driving innovation and setting key performance indicators (KPIs) to shape disease state understanding, surface new opportunities, and deliver strategic medical plans that are bold for current and future needs

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You will be expected to serve as Oncology biology lead for one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable milestone progression decisions. You will help set program strategy, and will be responsible for the delivery of key pre-clinical data that support a strong biological rationale for program progression.

As a highly organized, self-motivated individual with a strong background in cancer biology, you will stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to antibody drug conjugates, and have a genuine passion for this field of research.

Main duties and responsibilities:

• Serve as Oncology biology lead for one or more pipeline programs
• Work collaboratively with cross-functional teams to ensure timely generation and dissemination of critical program data
• Help set program strategy and deliver key pre-clinical data
• Manage and mentor a team of direct reports

Essential requirements:

• Ph.D. with 5-10 years of research experience or Master’s degree with 8+ years within the pharmaceutical industry
• Demonstrated ability to lead cross-functional project teams
• Demonstrated management and leadership skills and a passion for mentorship
• Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology
• Excellent verbal and written communication, presentation, and interpersonal skills

Desirable requirements:

• Prior experience in the biopharmaceutical industry
• Prior experience with antibody-drug conjugates

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We're looking for someone with 5-8 years of applied ML experience, previous background in a senior/staff role, and significant demonstrated impact that their work has had on the product and/or the teams. You should have strong programming skills, experience as the primary technical leader for a team, and strong communication skills, both within engineering teams and across disciplines.

As a bonus, we're looking for someone with a track record of shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area, and strong stats or math background.

We offer competitive salary and equity in a fast-growing start-up, regular compensation reviews, pension scheme, life assurance, comprehensive health and dental insurance, flexible paid time off policy, paid maternity leave, and relocation support for those moving to our offices.

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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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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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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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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 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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Your work may involve brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space. You will prototype and develop these ideas with the rest of the team, contributing directly to Gemini Diffusion research. You will solve key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps. You will rigorously validate the theoretical and practical impact of our work at a large scale. You will work collaboratively with other Generative AI teams to move the technologies we develop out of the lab and into production. You will advance the fundamental architecture, algorithmic design, and capabilities of large-scale diffusion models. You will bring deep scientific expertise into our projects, sharing your insights and knowledge with other researchers and engineers.

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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 Team

As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.

Our tools are widely adopted internally — powering ongoing enforcement, threat intelligence investigations, model audits, and more — and we’re looking for experienced engineers and researchers to both scale up existing applications and go zero-to-one on new ones.

About the Role

As a Research Engineer on our team, you'll design and build systems that let AI analyse large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. You'll work across the full stack, from core analysis frameworks through user-facing apps and interfaces.

This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.

Responsibilities:

• Design and implement AI-based monitoring systems for AI training and deployment

• Extend and improve core frameworks for processing large volumes of unstructured text

• Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions

• Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings

• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest

You May Be a Good Fit If You:

• Have 5+ years of software engineering experience, with meaningful exposure to ML systems

• Are excited about the problem of scaling human oversight of AI systems

• Are familiar with LLM application development (context engineering, evaluation, orchestration)

• Enjoy building tools that other people use — you care about UX, reliability, and documentation

• Can context-switch between deep infrastructure work and user-facing product thinking

• Thrive in collaborative, cross-functional environments

Strong Candidates May Also Have:

• Research experience in AI safety, alignment, or responsible deployment

• Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks

• Experience with productionizing internal tools or building developer-facing platforms

• Background in building monitoring or observability systems

• Comfort with ambiguity — our team is small and growing, and you'll help define what we become

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 our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work.

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Research Engineer / Research Scientist, Post-Training

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $295K – $555K • 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.

• 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Post-Training team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. The team partners closely with research and product teams across the company, and conducts research as a final step to prepare for real world deployment to millions of users, ensuring that our models are safe, efficient, and reliable.

About the Role

As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products.

We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own and pursue a research agenda to improve model capability and performance.

• Collaborate closely with the other research and product teams, allowing customers to optimize their own models.

• Build robust evaluations for tracking modeling improvements.

• Design, implement, test, and debug code across our research stack.

You might thrive in this role if you:

• Have a deep understanding of machine learning and machine learning applications.

• Have a working knowledge of relevant models, and building evaluations for model capability improvement.

• Are comfortable diving into a large ML codebase to debug.

• Thrive in a dynamic and technically complex environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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About the team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

About the role

We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable.

In this role, you will enable:

• Set research and strategies to study societal impacts of our models in an action-relevant manner and figure out how to tie this back into model design

• Build creative methods and run experiments that enable public input into model values

• Increasing rigor of external assurances by turning external findings into robust evaluations

• Facilitating and growing our ability to effectively de-risk flagship model deployments in a timely manner

You might thrive in this role if you:

• Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter

• Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.

• Possess 3+ years of research experience (industry or similar academic experience) and proficiency in Python or similar languages

• Thrive in environments involving large-scale AI systems and multimodal datasets

• Enjoy working on large-scale, difficult, and nebulous problems in a well-resourced environment

• Exhibit proficiency in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, LLM evaluations

• Have past experience in interdisciplinary research

• Show enthusiasm for socio-technical topics

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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.

Salary

• $380K • 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,

Experience Level

entry

Employment Type

full-time

Workplace Type

hybrid

Category

Engineering

Industry

Technology

Salary Range

$380K • Offers Equity

Required Skills

• Python

• Research experience

• AI safety

• RLHF

• Adversarial training

• Robustness

• LLM evaluations

Preferred Skills

• Interdisciplinary research

• Socio-technical topics

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Microsoft are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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