Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Advertising, Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Building Systems, Campaigns, Cleanroom, Code Reviews, Computer Science, Content Management, Customer Experience, Data Management, Data Processing, Data Science, Distributed Computing, Film, Football, Machine Learning, Marketing, Marketing Software, Mentoring, Multiplatform/Cross-Platform, Needs Assessment, Performance Analysis, Performance Tuning/Optimization, Product Marketing, Project Design, Scalable System Development, Social Media, Software Development, Software Engineering, Team Lead/Manager, Team Player, Testing, Video Production
LOCATION
Seattle, WA
POSTED
14 days ago

Ever wondered how streaming platforms know which ad drove you to watch your next favorite show? We"re building the systems that answer that question at scale.

Prime Video Personalization & Discovery Growth team leverages AI and Machine Learning systems to connect customers with their favorite Movies, TV shows, and Live Events. We power highly personalized recommendations, identify the most delightful content for each customer to engage with at the right time, in the right place, across Prime Video and social media platforms.

We are seeking a Software Development Engineer to build scalable measurement, attribution, and audience optimization systems that directly impact how Prime Video invests marketing dollars, improves content discovery for customers, and drives subscriber growth. You will design and operate services that measure campaign effectiveness, generate attribution insights, and build audience models that optimize targeting and performance at scale. Experience with ML is valued as our systems leverage models for lift measurement, incrementality testing, and audience optimization. Your work will span AWS clean room infrastructure, lift and incrementality measurement, and data pipeline engineering, influencing decisions that reach 200M+ customers worldwide.

If you"re a customer-obsessed engineer with a strong computer science foundation, experience in ML systems, and a passion for building systems that prove what works in advertising and media performance at scale, this is your chance to make a difference.

You"ll own critical systems end-to-end, tackle complex engineering challenges across distributed systems, ML infrastructure, and large-scale data processing, and ship features that directly impact millions of customers. Experiment with new technologies. Collaborate with engineers, scientists, marketing managers, and external partners.

We"ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career in Prime Video Tech takes you!

Key job responsibilities

  • Design and build scalable services that power marketing measurement, attribution, and audience optimization across paid media channels, driving content discovery and subscriber growth for Prime Video
  • Lead high-impact projects from design through production, making sound technical trade-offs and delivering results
  • Build data pipelines that ingest, process, and serve campaign performance data at scale
  • Integrate ML models into production services, including feature engineering, inference, and monitoring
  • Partner with engineers, scientists, product managers, and marketing teams to translate business needs into technical solutions
  • Champion code quality, operational excellence, and engineering best practices through code reviews and mentorship

A day in the life

Build bleeding-edge solutions for marketing measurement, audience targeting, optimization, and campaign performance across paid media and social platforms. Harness machine learning to understand customer needs and connect them with content they love. Collaborate with marketing, data science, and engineering teams to research and build new channels for customer engagement. Own the full stack, from distributed services to ML models, with a wide variety of projects and technical challenges.

Make a real impact on a product used by millions of people globally. Work on industry-defining content like Lord of the Rings, Thursday Night Football, and Jack Ryan. Enjoy a dynamic environment with talented colleagues and supportive managers. Grow your career, skills, and expand your impact

About the team

Be a part of a dynamic and collaborative team at the forefront of innovation in the streaming industry! We leverage bleeding-edge technology, including Machine Learning and AI, to measure, attribute, and optimize Prime Video"s marketing investments across paid media, social platforms, and connected TV. We work closely with marketing, data science, and engineering teams to build solutions that power audience targeting, measurement, attribution, optimization, and content discovery across various platforms.

We"re a self-managed team, operating with a high degree of independence and ownership. From day one, your manager will work closely with you to support your career growth and help you achieve your professional goals. We embrace a data-driven approach, constantly analyzing performance and iterating on our solutions to deliver the best possible customer experience. We"re a tight-knit group that thrives on mutual respect, continuous learning, and a shared passion for pushing the boundaries of entertainment technology.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles