The program is designed to foster AI research and engineering talent. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on their projects. In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

To be eligible, you must be fluent in Python programming, available to work full-time on the Fellows program, and have a strong technical background in computer science, mathematics, or physics.

The program is open to individuals from underrepresented groups and encourages applicants to apply even if they don't meet every qualification.

Strong candidates may also have a strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity) and experience in areas of research or engineering related to their workstream.

ML Systems & Performance Fellows will work on projects such as building a CPU simulator for accelerator workloads, adding backends for different accelerators on an open source project, building on demand infrastructure for other infrastructure heavy fellows projects, and building complex synthetic data or environment pipelines.

The program is a great opportunity for individuals who are motivated by making sure AI is safe and beneficial for society as a whole, excited to transition into empirical AI research, and thrive in fast-paced, collaborative environments.

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The Senior Medical Science Liaison will establish proactive long-term scientific/strategic relationships with key, influential healthcare providers, and stakeholders, and with major medical associations and academic centers of excellence. These relationships will ensure that healthcare providers and organisations have access to relevant scientific information and that pertinent information is shared with the medical community.

Key Responsibilities:

• Scientific Expertise: Complete core training curriculum and basic MSL and Therapeutic Area (TA) Certification; demonstrated accountability to continuous learning and growth (Franchise data, MSL role, Soft Skills, Personal Development).
• External HCP and Stakeholder Engagement: Establishes robust long-term relationships with Thought Leaders and other key stakeholders through education on up to date scientific information in alignment with US, Global, and Area Business Unit definitions and strategies.
• Education: Delivers educational presentations to external audiences, stakeholders, and customers groups.
• Research: Responsible for supporting research projects aligned with medical and brand strategy; including facilitating investigator-initiated research (IIR) and research site identification.

Requirements:

• Bachelor's degree in a life science or related field.
• Minimum 5 years of experience in a pharmaceutical or biotechnology company, preferably in a Medical Affairs or Scientific Affairs role.
• Strong scientific knowledge and expertise in the therapeutic area of cardiorenal.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Office and ability to learn new software applications.

Preferred Qualifications:

• Master's degree in a life science or related field.
• Experience in a leadership or management role.
• Advanced scientific knowledge and expertise in the therapeutic area of cardiorenal.
• Experience in research and development, regulatory affairs, or clinical trials.
• Familiarity with global regulatory requirements and guidelines.
• Experience in a fast-paced environment with multiple priorities and deadlines.

If you are a motivated and experienced professional looking for a challenging role in a dynamic and innovative company, please submit your application.

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About the Role: The Claude Agentic Solutions team is Anthropic's forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.

You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.

Responsibilities:

Tech Leadership

• Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.
• Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.
• Develop your team's vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.
• Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.
• Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.
• Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.

Use Case Library & Reusable Patterns

• Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.
• Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.
• Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.
• Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.

Commercial Leadership

• Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.
• Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.
• Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.
• Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.

Requirements:

• 8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.
• Comfort operating in ambiguity and building processes where none exists , you've worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.
• Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.
• A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.
• Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.
• Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.
• Experience navigating regulated industry environments.
• Executive presence and communication skills: you can present to a board or run a difficult conversation.

Annual Compensation Range:

£255,000-£325,000 GBP

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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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The mandate is to start with the audience: build and govern the contact map of executives and decision-makers across our top-tier accounts, then design the portfolio of high-touch programs (Customer Advisory Boards, Executive Briefings, early access programs, co-marketing investment, customer references) to that map.

A defining feature of this role is serving as the single point of contact to our leadership for our executive-level customer programs. You will work closely with the office of our Chief Commercial Officer and Sales leadership to represent what we are asking of our top customers, what they are getting from us, and what they are telling us , with workstreams and a team behind you.

You will also be the standing voice of these customers inside Anthropic, ensuring their priorities are understood by Product, GTM, and company leadership. You will hire and manage a team covering advisory boards, executive briefings, early access programs, and more.

The right candidate has built customer programs at a high-growth B2B company before, is credible in a room of Fortune 500 executives, and operates comfortably with GTM and company leadership.

Responsibilities:

• Build the Customer Programs function: define the strategy, hire the team, establish the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.

• Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.

• Own the governed strategic-account audience: the named list of executives and decision-makers across our lighthouse accounts that every high-touch program draws from, maintained in partnership with sales leadership.

• Design and run the portfolio of high-touch customer programs end to end: CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and the customer reference and speaker bench.

• Act as the voice of strategic customers inside Anthropic , bring their priorities and feedback into Product, GTM, and leadership forums, and make sure the company treats supporting them as a priority.

• Coordinate the asks we make of top customers across the company so that no executive is over-approached and every engagement is intentional.

• Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership; build toward an incrementality view over time.

• Partner cross-functionally on execution , this team is the single-threaded owner of these programs (audience, programming, customer and Sales comms) and orchestrates specialists for content and production. Over time, this includes partnering with Brand on the executive hospitality standard, and how Anthropic shows up when we host our most important customers.

You may be a good fit if you have:

• 10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.

• Built or significantly scaled an executive customer programs function (CABs, EBCs, executive sponsor programs, customer advocacy) at a high-growth enterprise technology company.

• A track record of being the trusted marketing counterpart to a CRO/CCO and enterprise Sales leadership , you have been the one person in the room representing customer programs to the head of the commercial org.

• Demonstrated executive presence with Fortune 500 C-suite and VP-level customers; you have personally recruited, hosted, and maintained CAB-level relationships.

• Experience designing programs from an audience-first model: starting with a named-account list and building format, content, and cadence to it, rather than filling seats for pre-built events.

• Strong cross-functional operating skills , you can define remits with adjacent teams (product marketing, events, solutions, field) and hold the line on them without friction becoming the story.

• Comfort owning a number: you have reported on coverage, engagement, and influenced pipeline/expansion and can stand behind the methodology.

• Clear written and verbal communication; you can brief an executive in three bullets and write the memo behind it.

• Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly.

Annual compensation range for this role is $400,000 - $400,000 USD.

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Your responsibilities will include collaborating with a diverse team to bring renewable energy technologies to market, analysing and interpreting data from experiments and simulations, conducting research and development to enhance current processes, and ensuring all technologies comply with safety, health, and environmental regulations and standards.

You'll have the opportunity to work on a diverse range of projects, from feasibility studies and system design through certification, design-for-manufacture, and production launch.

We're looking for a Mechanical Engineer with a broad engineering interest who is passionate about solving complex problems in the renewable energy sector. You'll need a Bachelor's degree in Process, Chemical, or Mechanical Engineering or a related field, a strong technical foundation in either engineering design, commissioning, or in an operational engineering setting, and a proven track record of solving technical engineering problems in your given field.

You'll also need excellent analytical skills, the ability to think creatively and innovatively, strong communication and teamwork skills, and strong organisational skills and attention to detail with the ability to manage multiple projects simultaneously.

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Your responsibilities will include collaborating with a diverse team to bring renewable energy technologies to market, conducting research and development to enhance current processes, and exploring new sustainable technologies and emerging market opportunities globally.

You'll work on a diverse range of projects, from the technical development of hydrogen production systems to conducting feasibility studies for long-duration energy storage technologies and supporting the engineering efforts connected to our solar and wind energy assets.

To succeed in this role, you'll need a strong technical foundation in electrical and/or electronic engineering, a proven track record of solving technical engineering problems, and excellent analytical skills with the ability to think creatively and innovatively.

You'll also need strong communication and teamwork skills, with the ability to work effectively in a collaborative environment, and strong organisational skills and attention to detail with the ability to manage multiple projects simultaneously.

We're looking for someone with a passion for renewable energy and sustainability, and a minimum of 2 years of experience in the field.

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We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. As we continue to develop cutting-edge technologies and sustainable energy solutions, we are looking to hire a versatile Electrical Engineer with a broad engineering interest who is passionate about solving complex problems in the renewable energy sector.

Responsibilities

• Collaborate within a diverse team to bring renewable energy technologies to market, engaging in every phase of engineering development - from concept and design, through to construction and commissioning
• Conduct research and development to enhance current processes, explore new sustainable technologies and assess emerging market opportunities globally
• Engage in a diverse range of projects, ranging from the technical development of hydrogen production systems (electrical control systems and interface), conducting feasibility studies for long-duration energy storage technologies and supporting the engineering efforts connected to our solar and wind energy assets

Requirements

• Bachelor's degree in Electrical and/or Electronic Engineering or a related field
• Strong technical foundation in either design, commissioning or in an operational engineering setting
• Proven track record of solving technical engineering problems in your given field
• Excellent analytical skills with the ability to think creatively and innovatively
• Strong communication and teamwork skills with the ability to work effectively in a collaborative environment
• Strong organisational skills and attention to detail with the ability to manage multiple projects simultaneously
• Passion for renewable energy and sustainability
• Minimum 2 years of experience

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $162K – $280K • 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

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

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

• Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

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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Location

Europe

Employment Type

Full time

Location Type

Remote

Department

EngineeringEngineering

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

About the role

• Lead the delivery of complex engineering projects, breaking them down into manageable stages with predictable timelines. Make informed decisions on trade-offs and effectively communicate these to stakeholders. Challenge and support senior engineers to achieve technical excellence.

• Understand engineering leveling and scale the team by identifying and filling skill gaps. Collaborate with recruiting to attract and retain top talent, ensuring the team structure supports current and future business needs.

• Monitor team performance proactively, identifying and addressing issues promptly. Develop strategies to retain top performers through growth opportunities and recognition.

• Navigate difficult conversations with clarity and empathy, especially when working with senior team members. Resolve disagreements by focusing on solutions that align with business goals and foster a collaborative team environment.

• Team you would be leading - Developer Platform is a team focused on helping engineers at Synthesia build, ship, and operate software faster and more safely by providing opinionated, self-service tooling with strong defaults. As the company grows, complexity grows with it. Our job is to create structure and tools to simplify and reduce that complexity so product teams don’t have to.

What we're looking for:

• Proven experience in leading engineering teams and delivering large-scale projects with predictable outcomes, ideally 2+ years.

• Strong understanding of engineering levels and experience in scaling teams effectively.

• Proven ability to track performance and helping every team member improve output and achieve career goals.

• Excellent communication skills, with experience in handling difficult conversations and resolving conflicts constructively.

• Relevant engineering background for a team building an enterprise-grade SaaS product.

• Experience in leading Platform/DevEx teams is a big plus, but not mandatory.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 80% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The hiring process:

1. 30-40min call with a Technical Recruiter

1. 45min call with an Engineering Manager

1. Take-home assignment (no coding required) - writing an RFC, solution proposal

1. 60min task debrief and technical discussion

1. 45min call with leadership

The process does not need to take long - we can be done in seven working days.

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Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. This role sits at the heart of developing cutting-edge large-scale AI services that can power the next-gen AI search. You'll work directly with the team to shape the company's direction in AI search and development.

About the Role

As an Applied Scientist II, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also host ML models with production-ready code, design and execute offline/online experiments, and advance the state of the art of NLP technologies for real-world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining

Technical skills:

• Strong research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Excellent scientific thinking and execution
• Ability to drive efficient experiment definition and investigations

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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

About the Role

We are looking for an Applied Scientist who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have extensive Machine/Deep Learning knowledge with proven track record in solving complex real-world ML/DL problems, specifically in areas related to fairness, or model safety. In addition, the candidate will have expert knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing scalable solutions.

Accountabilities

• Developing novel machine learning and data mining algorithms.
• Designing and developing solutions that respond in real time.
• Building data quality checks and re-usable modules for the training.
• Hosting ML models with production-ready code.
• Designing and executing offline/online experiments.
• Advancing the state of the art of NLP technologies for real world scenarios.
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

The Candidate we're looking for

Experience:

• 7+ years of professional experience applying Deep learning, Machine Learning concepts in real world applications.

Technical skills:

• Solid research and/or development experience with machine learning, NLP and data mining.
• Experience in architecting, developing, and delivering advanced NLP projects.

Personal attributes:

• Outstanding communication and collaboration skills.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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

About the Role

As a Senior Applied Scientist, you will be responsible for developing novel machine learning and data mining algorithms. You will design and develop solutions that respond in real time, building data quality checks and re-usable modules for the training. You will host ML models with production-ready code, designing and executing offline/online experiments. You will advance the state of the art of NLP technologies for real world scenarios, investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

Accountabilities

• Developing novel machine learning and data mining algorithms.
• Designing and developing solutions that respond in real time.
• Building data quality checks and re-usable modules for the training.
• Hosting ML models with production-ready code.
• Designing and executing offline/online experiments.
• Advancing the state of the art of NLP technologies for real world scenarios.
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

The Candidate we're looking for

Experience:

• 7+ years of professional experience applying Deep learning, Machine Learning concepts in real world applications.

Technical skills:

• Solid research and/or development experience with machine learning, NLP and data mining.

Personal attributes:

• Outstanding communication and collaboration skills.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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