Machine Learning Engineer

This onsite Machine Learning Engineer role in Palo Alto, CA on the SPB Search Relevance team within Amazon Ads offers a salary range of USD 165,200 to 223,600 per year and focuses on designing scalable services, building data pipelines for ML and LLMs, and providing technical leadership to improve advertising relevance.

Responsibilities

• Design and implement scalable services to support advertising infrastructure.
• Partner with data scientists and engineers to architect data pipelines for processing massive datasets and scaling ML models and LLMs.
• Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer perceived relevance.
• Rapidly learn new technologies and algorithms in the field of Generative AI.

Requirements

• 3+ years of non-internship professional software development experience.
• 3+ years of computer science fundamentals, including object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Bachelor's degree in computer science or equivalent (preferred).

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, 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 and restricted stock units (RSUs).

About the Team

• The Sponsored Products and Brands team at Amazon Ads is re-imagining advertising through generative AI technologies, transforming how millions of customers discover products and engage with brands across Amazon.com and beyond. The team combines human creativity with artificial intelligence to advance advertising experiences from creation and optimization to performance analysis.