About the job
The Marketplace Intelligence (MI) team is looking for an Applied Science Manager to lead a team of scientists and engineers in building production ML and bandit solutions to customize the search experience. We determine which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the allocation and ranking of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.
Responsibilities
Lead a team of scientists and engineers in building scalable machine learning solutions.
Develop a vision for contextualizing and personalizing SP ads in Amazon search.
Create, develop, and drive a data-driven product strategy to define the right quantitative measures of shopper impact, using this to evaluate decisions and opportunities.
Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
Own a portfolio of pragmatic long-term investments that drive long-term growth of the ads and retail businesses.
Develop real-time LLM and ML algorithms to allocate billions of ads per day in advertising auctions.
Develop efficient algorithms for multi-objective optimization and AI control methods to find operating points for the ad marketplace then evolve them
Develop scientists and ML engineers around machine learning, economics, and optimization for Advertising.
Qualifications
Minimum
4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Experience programming in Java, C++, Python or related language
Preferred
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers