Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer, Ad Response Prediction
Seattle, Washington, USA
Actively hiring, first seen by us 5 hours ago- Pay
Multiple pay amounts — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
What you’ll work on
Full postingYou'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.
From the employer’s posting
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
Education & alternatives
- 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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 76.
From 5,425 similar postings that came down. Coming down is not always a hire.
Amazon is hiring
956 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- C++
- Java
Where the posting names them
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
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job 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.
- 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
- 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.
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
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Seattle, Washington, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.