We are looking for a senior AI/ML researcher who can architect and guide a long-horizon ML strategy for a healthcare-focused organization building a durable, domain-specific healthcare foundation model and a high-reliability inference system. This person will define the technical vision for how our organization should leverage frontier models, when and how to build proprietary domain models, and how to sequence capability development into monetizable, customer-facing features while working high quality, safety, and regulatory constraints expected within healthcare. This individual will serve as a senior technical advisor on frontier-model integration, data strategy, evaluation and safety architecture. They will partner closely across product, engineering, clinical, and compliance teams to ensure that the AI system is safe, reliable, economically viable, and capable of compounding differentiation over time.
The ideal candidate brings deep hands-on experience training or adapting large-scale models (LLMs, multimodal, or MoE systems), with strong grounding in distributed training, RLHF/DPO, retrieval and knowledge integration, evaluation harness design, and ML systems engineering.
Demonstrated experience shipping ML capabilities in high-stakes or regulated domains—healthcare, autonomy, finance, or large enterprise platforms—is highly valuable, as is familiarity with clinical data, workflow constraints, or ISO-aligned or internationally acknowledged safety practices and standards. This hire must combine research depth, pragmatic product sense, and systems leadership to build a capability that endures for many years.
Basic Qualifications
- MS/PhD in computer vision, machine learning, computer science, or related quantitative and computationally intensive disciplines.
- Proven track record in shipping large scale AI/ML products.
- 10+ years working in related AI domains.
- 5+ Language/multimodal model tuning and optimization experience.
- 5+ years of advising engineering and science teams.
Preferred Qualifications
- Experience in healthcare, pharmaceuticals, biotechnology etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Santa Clara - 276,100.00 - 350,000.00 USD annually