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

Amazon • Seattle, WA

2d • $143,700 - $194,400 • Onsite

About The Position

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!

Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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
• 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience

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
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience with ad-tech measurement, attribution methodologies, or clean room technologies (e.g., AWS Clean Rooms)

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

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: Mid Level