Machine Learning Engineer
Seattle, WAJob$144–194K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Machine Learning Engineer will build and operate machine learning pipelines and online serving systems for sponsored ads across Amazon’s product catalog. The role partners with research and applied scientists to move models from experimentation into production, delivering features end to end and maintaining services under strict latency and operational requirements. The engineer also collaborates across product and engineering teams and mentors peers through design and code reviews.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Build the machine learning pipelines and online serving systems that match shoppers with advertised products across one of the world's largest product catalogs, with a high relevance bar and strict latency limits. Your work will directly shape the ads hundreds of millions of customers see in Amazon search results and on detail pages around the world.
You'll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. You'll deliver solutions end to end, then run them to the operational standards needed for services that are always on and used around the globe.
Key job responsibilities
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Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits
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Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production
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Deliver ML features end to end: system design, implementation, testing, deployment and operations
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Identify problems, propose solutions and use performance metrics to track system health and model quality
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Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers
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Work with Product, UX, QA and other engineers to build the right product for customers
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Mentor peers and share technical knowledge through design and code reviews
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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
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3+ years of non-internship professional software development experience
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2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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1+ years of software development engineer or related occupational experience
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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
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1+ years of Object Oriented Design experience
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Experience programming with at least one software programming language
Preferred Qualifications
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3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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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 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 .
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
How this job compares
Set against the 6,178 open Machine Learning Engineer jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$144–194K/yr
- Washington median$167–241K/yr295 salary ranges
- US median$151–246K/yr5,016 salary ranges
This range's midpoint, $169K, is 15% below the Washington median midpoint ($198K) — in the lowest quarter of Machine Learning Engineer salary ranges in Washington.
- Openings
- Olive Jobs lists 365 open Machine Learning Engineer jobs in Washington and 6,178 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,858 postings).
- Education
- 2,039 of the 6,178 open Machine Learning Engineer jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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