Build the multi-agent orchestration platform that autonomously executes ML research workflows - from hypothesis generation through production deployment - accelerating how we deliver relevant sponsored products to hundreds of millions of Amazon shoppers. You'll work at the intersection of Generative AI, large-scale ML infrastructure, and search relevance at massive scale.

The Sponsored Products Search Relevance (SPSR) team helps shoppers easily find and discover the most relevant sponsored products while improving advertisers' ability to reach the right shoppers in the right context. We develop capabilities to understand shopper queries, shopping missions, and product attributes to identify contextually relevant ASINs - and we make CX/UX improvements so shoppers can perceive why products are relevant and efficiently navigate Amazon's vast selection. This is AI-first engineering: you'll build the systems that dramatically increase scientist throughput and ship relevance improvements to production at scale.

Key job responsibilities

- Build and scale a multi-agent orchestration platform that autonomously executes research workflows - from hypothesis generation and experiment design through training, evaluation, and production deployment - with fault tolerance, cost controls, and security compliance

- Develop AI-first Auto Research systems that parallelize hypothesis testing across compute, incorporating tournament-based proposal filtering and human-in-the-loop review to dramatically increase scientist throughput

- Own platform reliability and developer experience, including multi-tenant GPU scheduling, observability, eval frameworks, and knowledge services - ensuring agents and scientists operate on a stable, extensible foundation

- Productionize LLM/VLM models with a focus on efficiency, throughput, and low-latency serving

- Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs

- Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer-perceived relevance

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

- 1+ years of software development engineer or related occupational experience

- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

- 1+ years of Object Oriented Design experience

- Experience programming with at least one software programming language

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

- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

- Demonstrated track record of innovative AI agent solution development

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

USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually