Machine Learning Engineer, Prime Video Ads CX

Amazon is hiring a Machine Learning Engineer, Prime Video Ads CX in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
The posting mentions Python, Neural Networks and AWS among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Develop and scale machine learning models and systems to personalize video ad experiences on Prime Video.

PythonNeural NetworksAWS

machine-learningsoftware-developmentbig-datasystem-scaling

Are you interested in shaping the future of movies and television, and being part of a team that is helping Amazon redefine the future of video advertising? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices, and Prime Video is a rising player in this space.

PV Ads CX team owns personalizing Ads experience for a customer on Prime Video. We work on balancing customer satisfaction and engagement with monetization objectives by applying machine learning based solutions to customize the Ads experience. We work with millions of customer's data to understand customer behavior, business need, and formulate ML based solution to delight our customers.

Successful candidates have a solid background in machine learning. They have experience working on big data, and neural network models. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills.

Key job responsibilities
As a MLE-II on the team, you will be responsible for:
- Collaborating closely with Scientists to develop ML based solutions for Ads Customer Experience on Prime Video.
- Building solutions to process massive data, scale machine learning models, while defining and optimizing criteria critical to the success of the customer experience
- Driving cross-team initiatives and leading a team of developers on key initiatives.
- Mentoring engineers on the team.

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
- 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
- Experience with video ad serving and ad delivery

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, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

How we rate this

Machine Learning Engineer, Prime Video Ads CX at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Engineer, Prime Video Ads CX is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Seattle.
The job was posted on September 27, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningSoftware DevelopmentBig DataSystem ScalingPythonNeural NetworksAWS

Also common in machine learning engineer jobs at this level

Python PyTorch LLM TensorFlow Deep learning AWS

Pay

This job starts at: $144k
Typical machine learning engineer job: $197k

This posting starts 27% below the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where system scaling was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Software Development, Big Data, System Scaling, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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