Sr. Machine Learning Engineer, Sponsored Products and Brands
AI summary of the role
Senior ML engineer on Amazon's Sponsored Products and Brands Global Optimization Science team, a newly-founded group reimagining the advertising stack for emerging markets using multilingual and multi-modal GenAI (semantic hashing, LLMs).
What you’ll do
- Architect next-generation systems replacing legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
- Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support.
- Drive end-to-end innovation from research ideation through production deployment at Amazon scale.
- Lead cross-functional collaboration with product, science, and business teams to translate science into customer impact.
What you’ll bring
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems
- Experience as a mentor, tech lead or leading an engineering team
Technologies
GenAI · LLMs · semantic hash · multi-modal · recommendation engines · machine learning · software development · architecture
About Amazon (incl AWS)
Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
The Amazon Sponsored Products and Brands is looking for a talented Sr. Machine Learning Engineer to join the Global Optimization Science team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up, leveraging multilingual and multi-modal GenAI technologies — including semantic hash designs, LLMs, and more — to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to
More from the job description
The Amazon Sponsored Products and Brands is looking for a talented Sr. Machine Learning Engineer to join the Global Optimization Science team at the forefront of advertising technology innovation. We are working backwards from emerging markets to reimagine Amazon's advertising stack from the ground up, leveraging multilingual and multi-modal GenAI technologies — including semantic hash designs, LLMs, and more — to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. The ideal candidate combines entrepreneurial drive with deep technical expertise, thriving in ambiguous, fast-moving environments where you define the path forward with minimal structure. Our team regularly goes from ideas on the whiteboard to production-grade experiments. Your Customer Obsession fuels your passion for translating science into real-world value for millions of advertisers and customers worldwide. You are consistently Right, A Lot when navigating complex technical decisions, demonstrating the rare ability to identify solutions that drive maximum impact with minimal resources. Whether you're architecting scalable GenAI systems or optimizing multi-task recommendation engines, you cut through complexity to find the solutions t [... source excerpt omitted ...] —you have successfully delivered value with state-of-the-art technologies at Amazon scale, understanding both the promise and practical challenges of deploying machine learning in production environments (evaluations, etc.). You're not just an engineer—you're a builder who sees the bigger picture and knows how to make it reality. Key job responsibilities * Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one. * Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support. * Drive end-to-end innovation from re [... source excerpt omitted ...] production deployment at Amazon scale. * Lead cross-functional collaboration with product, science, and business teams to translate science into customer impact. About the team You will join a newly-founded team with a broad mandate to experiment and innovate, with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to b
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