Sr. Machine Learning Engineer, Sponsored Products and Brands

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 that

deliver the most results. Your GenAI experience goes beyond theoretical

knowledge—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 research ideation through 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 broaden your technical skills, and

be a science leader in an environment that thrives on creativity,

experimentation, and product innovation. 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.
• Our inclusive culture empowers Amazonians to deliver the best results for our
• customers. If you have a disability and need a workplace accommodation or
• adjustment during the application and hiring process, including support for the
• interview or onboarding process, please visit
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] for more
• information. If the country/region you’re applying in isn’t listed, please
• contact your Recruiting Partner.
• 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
• [https://amazon.jobs/en/benefits].
• USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually