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Machine Learning Engineer, Ad Response Prediction

Amazon

New York, NYJob$158–214K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$158–214K/yr
Location
New York, NY
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Machine Learning Engineer will build and operate machine learning pipelines and online serving systems for matching shoppers with advertised products. The role partners with research and applied scientists to improve model performance and infrastructure, taking models from experimentation into production. The engineer delivers features end to end and maintains services to high operational standards for Amazon Ads products used by customers worldwide.

Skills & qualifications

RequiredNice to have

Skills

Software Programming, requiredSoftware Development, requiredSystem Design, requiredSoftware Architecture, requiredC#, requiredC++, requiredJava, requiredPerl, requiredObject-Oriented Design, requiredFull Software Development Lifecycle, nice to haveCoding Standards, nice to haveCode Reviews, nice to haveSource Control Management, nice to haveBuild Processes, nice to haveTesting, nice to haveOperations, nice to have

Qualifications

3+ Years Software Development Experience, required2+ Years Design or Architecture Experience, required1+ Year SDE or Related Experience, required1+ Year Large-Scale Software Experience, requiredBachelor's in Computer Science or Equivalent, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

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

  • Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits

  • Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production

  • Deliver ML features end to end: system design, implementation, testing, deployment and operations

  • Identify problems, propose solutions and use performance metrics to track system health and model quality

  • Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers

  • Work with Product, UX, QA and other engineers to build the right product for customers

  • 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

  • 3+ years of non-internship professional software development experience

  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • 1+ years of software development engineer or related occupational experience

  • 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

  • 1+ years of Object Oriented Design experience

  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ 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 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 6,245 open Machine Learning Engineer jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$158–214K/yr
  • New York median$170–246K/yr412 salary ranges
  • US median$145–244K/yr5,192 salary ranges

This range's midpoint, $186K, is 12% below the New York median midpoint ($213K) — in the middle half of Machine Learning Engineer salary ranges in New York.

Openings
Olive Jobs lists 513 open Machine Learning Engineer jobs in New York and 6,245 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
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 (5,158 postings).
Education
2,123 of the 6,245 open Machine Learning Engineer jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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