Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance

Join Amazon Ads in New York, NY as a Machine Learning Engineer focused on Sponsored Products Off-Search Sourcing and Relevance, onsite, with a salary range of USD 158,100 to 213,800 per year.

Responsibilities

• Design, implement, and maintain scalable ML infrastructure and data pipelines that support ad relevance and sourcing at large scale.
• Create and optimize ML models that leverage deep product and shopper insights to surface relevant ads across non-Search surfaces.
• Architect and deploy ad serving systems that handle high volume with low latency and strict availability.
• Integrate ML solutions with distributed systems to support click-through prediction and ad auctions.
• Evaluate impact through rapid A/B experiments, iterating to boost relevance and performance.
• Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML driven solutions.

Requirements

• At least 3 years of professional software development experience (not internships).
• At least 2 years of design or architecture experience focusing on design patterns, reliability, and scalability of new or existing systems.
• Proficiency in at least one programming language.

Benefits

• Comprehensive health coverage including medical, dental, vision, prescriptions, Basic Life and AD&D, with optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement.
• 401(k) with company matching.
• Paid time off.
• Parental leave.

About the team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.