Software Development Engineer, Sponsored Products and Brands
About the role
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 — which 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.
About the team
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
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
- 5+ years of non-internship professional software development experience
- 5+ 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
Preferred qualifications
- 5+ 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
Pay
USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually. 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.
Benefits
Amazon 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.
This response is AI-generated, for reference only.