Senior Software Engineer, Prime Video Personalization and Discovery

AI in this role

Lead technical strategy and development for AI-powered recommendation systems and personalized content discovery experiences.

software-developmentdistributed-systemsrecommendation-systemsmachine-learningpython

Prime Video Personalization and Discovery (PVPD) is seeking a Senior Software Development 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 score this

Senior Software Engineer, Prime Video Personalization and Discovery at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software DevelopmentDistributed SystemsRecommendation SystemsMachine LearningPython

Questions you could be asked

Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where recommendation systems was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Development, Distributed Systems, Recommendation Systems, Machine Learning, 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.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.

Get new AI jobs at AI Level 4+ by email

One email a week with the new AI jobs at AI Level 4+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Also alert me for new jobs at Amazon

Free. One email a week. Unsubscribe in one click.