Amazon Ads Developer Jobs

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27d ago

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

27d ago

$193k - $262k/yr Full time Ai Ml Amazon Ads Artificial Intelligence

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Job Description

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

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