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
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.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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