Amazon Sr Principal Applied Scientist Sponsored Products 

United States, Washington, Seattle 

669384163

As a Senior Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

Graduate degree in Computer science/Math or related field.
Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch
Computer Science fundamentals in data structures, algorithm design and complexity analysis.
Ability to develop machine learning platform strategy in the domain of recommender systems.
Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet aggressive timelines with optimal solutions.
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

15+ years of relevant, broad research experience after PhD degree or equivalent.
Deep expertise in Machine Learning as applied to large-scale generative models
Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at top-tier peer-reviewed conferences or journals.
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Thinks strategically, but stays on top of tactical execution.
Exhibits excellent business judgment; balances business, product, and technology very well.
Effective verbal and written communication skills with non-technical and technical audiences.
Experience working with real-world data sets and building scalable models from big data.