Full Job Description
Build the large-scale ML training and real-time inference systems that deliver highly relevant ads to shoppers across all Amazon platforms worldwide - from advanced machine learning models to next-generation LLM inference infrastructure powering GenAI workloads at Amazon Ads scale. If you're energized by ML engineering at massive scale with direct business impact, this is your team.
The Sponsored Products and Brands (SPB) Ad Response Prediction team partners engineers and scientists to build the ML infrastructure - from training through inference - that predicts which ads are most relevant to shoppers across every Amazon surface. You'll pioneer LLM inference infrastructure, optimize model performance at scale, and implement end-to-end solutions in a fast-moving, collaborative environment with a strong entrepreneurial spirit and bias for action.
Key job responsibilities
- Enhance the scalability, automation, and efficiency of large-scale ML training and real-time inference systems
- Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale
- Work closely with applied scientists to optimize machine learning model performance and implement end-to-end solutions from experimentation through production
- Design and build ML data pipelines leveraging techniques in machine learning, data mining, information retrieval, statistics, and NLP
- Drive operational excellence for ML infrastructure - monitoring, automation, and continuous improvement of model serving systems
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
