Machine Learning Engineer

As a Machine Learning Engineer on the SPB Search Relevance team within Amazon Ads, you will design scalable services, build data pipelines for ML and large language models, and provide technical leadership to enhance advertising relevance. This on-site role is based in Palo Alto, CA, with a salary range of USD 165,200 to 223,600 per year.

Responsibilities

• Design and scale services to support the advertising infrastructure.
• Collaborate with scientists and engineers to build data pipelines capable of processing massive datasets and scaling ML and LLM workloads.
• Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer perceived relevance.
• Rapidly assimilate new technologies and algorithms in the field of Generative AI.

Requirements

• 3+ years of full-time software development experience (non-internship).
• 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

• Comprehensive health coverage including medical, dental, vision, prescription drugs, Basic Life and AD&D insurance, with an option for supplemental life plans; access to an employee assistance program, mental health support, a medical advice line, flexible spending accounts, and adoption or surrogacy reimbursement.
• 401(k) step with company matching.
• Paid time off.
• Parental leave.
• Sign-on incentives and restricted stock units (RSUs).

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.