Sr. Machine Learning Engineer, Prime Video Personalization and Discovery

Amazon is hiring a Sr. Machine Learning Engineer, Prime Video Personalization and Discovery in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this machine learning engineer role: aI is not part of the work.
Level classes it as a senior role.
Amazon has 22,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Prime Video Personalization and Discovery (PVPD) is seeking a Senior Machine Learning Engineer to lead Personalization and Discovery customer experiences. This role will work across team boundaries within PVPD and with external partners to drive the success of AI-powered content discovery initiatives. You'll be responsible for leading the technical strategy, architecture, and implementation of PV groupings, re-engagement and optimizations. You'll also establish operational excellence practices across the organization.

Key job responsibilities
* Design, develop and maintain AI based recommendation systems services that drive personalized experiences across Prime Video

* Build distributed systems to manage high-volume, low-latency AI powered customers experiences

* Develop tooling and automation to improve the efficiency, visibility, and reliability of recommendation systems.

* Collaborate cross-functionally with applied scientists, product management, and other software development teams to continuously enhance the Prime Video discovery and personalization experiences experience

* Confidently train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.

* Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve your team’s software, making it better and easier to maintain.

* Champion best practices around software engineering, including designing, testing, monitoring

A day in the life
Your day begins with team standup meetings, where you help prioritize work streams and unblock critical issues. Some days will involve hands-on development, writing and reviewing code, and other will consist of technical leadership responsibilities, authoring design documents or weighing in on your teammates approaches.

Throughout the day, you'll mentor junior engineers, providing technical guidance and collaborating with product managers to translate business requirements into technical solutions. You'll drive discussions with cross-functional teams to ensure alignment on architectural decisions.

You'll be responsible for maintaining and improving our personalization infrastructure's reliability and performance, troubleshooting complex production issues and implementing monitoring and alerting systems.

About the team
We are a team that is passionate about using Machine Learning and experiments to help surfacing the right content to the right customer at the right time. We love experimentation and learning how we can improve the quality of our recommendations.

You’ll join a diverse group of engineers at different career stages, combining fresh perspectives with deep technical expertise. Our mission is to create intuitive, fast, and personalized experiences that delight our global customer base. We blend technical excellence with strong product thinking, and our culture emphasizes learning and growth, with senior members actively mentoring newer engineers.

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 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, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr. Machine Learning Engineer, Prime Video Personalization and Discovery at Amazon rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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

Sr. Machine Learning Engineer, Prime Video Personalization and Discovery is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $168k-$227k a year.
The role is based in US, WA, Seattle.
The job was posted on October 21, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon