Amazon
Sr. Principal Applied Scientist, Sponsored Products, Advertiser Growth
Amazon, Seattle, Washington, us, 98127
Sr. Principal Applied Scientist, Sponsored Products, Advertiser Growth Job ID: 2785228 | Amazon Advertising LLCThe Sponsored Products (SP) team is looking for a Sr. Principal Scientist to help our millions of advertisers create, manage and optimize their campaigns with improved recommendations to drive efficient advertising sales. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon.As a Sr. 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 focus on generating AI-driven campaign settings and recommendations to help advertisers with their campaigns in the constantly changing Amazon marketplace. 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 advertisers to easily optimize their campaigns via recommendations, 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 provide real time campaign suggestions to advertisers across multiple delivery channels. 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 applied scientists and engineers.BASIC QUALIFICATIONS * Graduate degree in Computer science/Math or related field.
Are you the right applicant for this opportunity Find out by reading through the role overview below.* 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.PREFERRED QUALIFICATIONS * 15+ years of relevant, broad research experience after PhD degree or equivalent.* Deep expertise in Machine Learning as applied to advertising, search or recommender systems.* Hands-on experience with Large Language Models (LLM) and their application to solve business problems.* 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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
January 25, 2024 (Updated 1 day ago)
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Are you the right applicant for this opportunity Find out by reading through the role overview below.* 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.PREFERRED QUALIFICATIONS * 15+ years of relevant, broad research experience after PhD degree or equivalent.* Deep expertise in Machine Learning as applied to advertising, search or recommender systems.* Hands-on experience with Large Language Models (LLM) and their application to solve business problems.* 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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
January 25, 2024 (Updated 1 day ago)
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