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Sr. Principal Scientist, Amazon Health Science & Analytics

Santa Clara, California, United States💼 Full-time💰 $276,100–$350,000🗓 2025-11-27 → 2026-07-31

Core

Architect and guide a long-horizon ML strategy for a healthcare-focused organization, building a domain-specific foundation model and high-reliability inference system.

Role type

Sr. Principal Scientist (AI/ML Research & Strategy)

Builds

Proprietary domain healthcare models, high-reliability inference systems, and customer-facing features.

Domain

Healthcare / Large-scale AI/ML

Deliverable

production ML models

Required skills

Large-scale model training/adaptation (LLMs, multimodal, MoE), distributed training, RLHF/DPO, retrieval and knowledge integration, evaluation harness design, ML systems engineering, technical vision definition, safety architecture design, data strategy, cross-functional partnership.

Preferred skills

Healthcare/pharmaceuticals/biotechnology domain experience, clinical data familiarity, ISO-aligned safety practices.

Technologies

LLMs, multimodal models, MoE systems, distributed training frameworks, RLHF/DPO tools.

Responsibilities

Define technical vision for frontier model integration and capability sequencing, partner with product/engineering/clinical/compliance teams to ensure safety and reliability, advise on data strategy and evaluation frameworks.

Seniority

Principal, strategy & mentorship

Rewrite
## Responsibilities - 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. - Define the technical vision for leveraging frontier models, when and how to build proprietary domain models, and how to sequence capability development into monetizable, customer-facing features. - Ensure AI systems are safe, reliable, economically viable, and capable of compounding differentiation over time. - Serve as a senior technical advisor on frontier-model integration, data strategy, evaluation, and safety architecture. - Partner closely across product, engineering, clinical, and compliance teams to ensure alignment with quality, safety, and regulatory constraints. ## Requirements - 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+ years of language/multimodal model tuning and optimization experience. - 5+ years of advising engineering and science teams. - Demonstrated experience shipping ML capabilities in high-stakes or regulated domains—healthcare, autonomy, finance, or large enterprise platforms. - Familiarity with clinical data, workflow constraints, or ISO-aligned or internationally acknowledged safety practices and standards. ## Nice to Have - Experience in healthcare, pharmaceuticals, biotechnology, etc. ## Benefits - Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. - Base salary range: $276,100.00 - $350,000.00 USD annually. - Sign-on payments and restricted stock units (RSUs) included in the compensation package. - Inclusive culture and support for workplace accommodations. 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 include work safely and cooperatively with other employees, adhere to standards of excellence, communicate effectively, 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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