Applied Scientist, Sponsored Products Off-Search Sourcing Job at Amazon (Seattle)

Job Description

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Job Responsibility

Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.

Requirements

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
Experience developing and deploying models in real-world production environments.

Nice to have

Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.
Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.
Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.

What we offer

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
parental leave
sign-on payments
restricted stock units (RSUs)

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Applied Scientist, Sponsored Products Off-Search Sourcing

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