Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Amazon.com Services LLC is seeking a Senior Machine Learning Engineer to design and operate real-time ML serving systems for Sponsored Products and Brands Relevance. The role drives the technical direction, mentors engineers, and advances ad relevance through deep learning, NLP/LLMs, and distributed systems at Amazon scale. This on-site position in Palo Alto, CA offers a yearly salary range of USD 193,300 to 261,500.

Responsibilities

• Drive the technical direction of ML solutions across deep learning, AWS infrastructure, Auto ML, and real-time serving systems
• Design, develop, and own scalable offline ML pipelines and online serving components that handle billions of requests per day at millisecond latency
• Partner closely with applied scientists to optimize model performance, improve ML productivity, and advance the technical foundation that powers science innovation
• Troubleshoot and support high-volume, low-latency distributed systems — what you build is what you own
• Mentor junior engineers and guide them to deliver high-impact products and services for Amazon customers and sellers
• Make appropriate technology choices that balance innovation velocity with operational excellence and business needs

Requirements

• 8+ years of non-internship professional software development experience
• 10+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• 5+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
• Demonstrated ability to drive technical decisions across teams and deliver end-to-end from design through production deployment

Technologies

• PyTorch, TensorFlow, SageMaker, Triton, vLLM, Spark, AutoML, AWS

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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