Software Development Engineer - Prime Video, Linear Personalization Experience Team (LPEX)

Amazon • Seattle, WA

2d • Onsite

About The Position

Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football. Within this expanding ecosystem, Linear TV (24/7 Television or broadcast programming) has emerged as one of our fastest-growing segments, with viewership hours increasing significantly year over year. This growth demonstrates that even in the streaming era, customers deeply value the lean-back, curated experience that Linear TV provides.

Our data shows that Linear TV viewers develop strong habitual viewing patterns, spending more time on the platform and engaging more consistently than traditional VOD-only users. While video on demand continues to grow, the predictable nature of scheduled programming creates daily viewing rituals and higher customer retention. We in Linear Personalization are building next-generation AI-powered personalization and recommendation systems to enhance this natural engagement and provide a best-in-class Linear TV experience for Prime Video customers. By understanding and adapting to these viewing habits, we can create more compelling and sticky experiences for our customers. It's Day 1 for personalizing linear TV experience on Prime Video, and you'll be at the forefront of this innovation.

This is your opportunity to take an active role in shaping the future of digital video by defining the next generation of what Amazon customers will be watching. We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals of creating personalized viewing experiences for millions of customers worldwide.

We are looking for strong developers who are passionate about building sophisticated recommendation systems and delivering excellent, personalized digital media experiences to our customers. This is an opportunity to work with Principal Engineers and Applied Scientists to build high-performance recommendation systems, real-time data processing pipelines, and create elegant solutions for complex personalization challenges.

Successful candidates for this position will have a strong background in Java/Python, experience with ML frameworks (TensorFlow, PyTorch), and proficiency in SQL and distributed systems. Experience with AWS services including DynamoDB, SQS, SageMaker, and Lambda will help you contribute quickly. Knowledge of recommendation systems, personalization algorithms, and experience with model serving infrastructure is crucial for this role.

Equally important to these specific skills are a candidate's ability to multi-task, quickly adapt to new development environments and changing business requirements, learn new systems, create reliable/maintainable code, find creative and scalable solutions to difficult problems, and ability to communicate clearly and concisely both written and verbally.

Requirements

• 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

Nice To Haves

• 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
• Strong background in Java/Python
• Experience with ML frameworks (TensorFlow, PyTorch)
• Proficiency in SQL and distributed systems
• Experience with AWS services including DynamoDB, SQS, SageMaker, and Lambda
• Knowledge of recommendation systems, personalization algorithms, and experience with model serving infrastructure

Responsibilities

• Design and implement high-performance personalization systems that scale to millions of users and real-time content decisions
• Collaborate with Applied Scientists to productionize ML models for content recommendation and viewer engagement optimization
• Architect and build data pipelines that process viewer behavior, content metadata, and real-time signals
• Develop and optimize real-time serving infrastructure for recommendation models with strict latency requirements
• Lead the technical design and implementation of A/B testing frameworks to measure and improve recommendation quality
• Define system architecture and implement specific components while considering current and future technology choices
• Define and drive software best practices, including coding standards, code reviews, and testing
• Coach and mentor engineers on the team to foster a supportive culture of collaboration, scalability, and performance.
• Lead projects that require collaboration with multiple engineers, product managers, applied scientists, and cross-functional teams.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree