Senior Applied Scientist, GEM

Job ID: 3201462 | Services LLC

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The North America Stores GenAI Evaluation Media (GEM) team is seeking a Senior Applied Scientist to help shape the future of visual shopping experiences. We are building CXs and foundational capabilities to understand, enhance, and generate real‑time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, toward our vision of being the leader in visual media. The charter focuses on visual agentic experiences, multi‑modal personalization, and real‑time image/video generation, looking ahead as customer shopping continues to evolve through assistant‑driven experiences.
Key Job Responsibilities
Innovation & Technical Execution

Define the research roadmap and advance core science primitives for vision and language understanding, visual content generation and editing, virtual try‑on, and automated quality assurance via state‑of‑the‑art computer vision, machine learning, and generative AI.
Architect visual agentic systems, making high‑judgment trade‑offs across visual quality, relevance, latency, cost, and long‑term extensibility.
Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points.
Own end‑to‑end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance.
Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact.
Drive development and deployment of scalable agentic systems for visual content understanding and generation, ensuring architectural decisions support long‑term platform evolution.
Set and continuously raise the scientific and engineering bar across the team.
Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability.
Advance the team's scientific reputation through high‑impact publications and presentations at top‑tier internal and external venues, and generate intellectual property through patents.

Cross‑functional Influence & Leadership

Influence product and engineering roadmaps by partnering with senior leadership to shape customer‑facing features grounded in scientific insight.
Drive technical alignment across multiple teams and organizations within Amazon, resolving ambiguity and building consensus on approaches.
Communicate research vision, findings, and technical trade‑offs persuasively to executive, technical, and non‑technical stakeholders, shaping investment decisions.
Mentor and develop junior and mid‑level scientists, accelerating their growth and impact.

Basic Qualifications

PhD, or Master's degree and 6+ years of applied research experience
4+ years of applied research experience
3+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language

Preferred Qualifications

Experience in building machine learning models for business application
Experience with conducting research in a corporate setting
Experience with neural deep learning methods and machine learning
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Location & Compensation
USA, CA, Sunnyvale – Salary range: 192,200.00 – 260,000.00 USD annuallyUSA, WA, Seattle – Salary range: 167,100.00 – 226,100.00 USD annually
Benefits
The base salary range for this position is listed above. 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 optional 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 at Amazon benefits page. xlwpduy
Equal Opportunity Employment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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