Amazon.com Services LLC

Technology

SoftwareDevelopmentEngineer-MachingLearning,PrimeVideoPersonalizationandDiscoveryGrowth

$144–194k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Development Engineer - Maching Learning, Prime Video Personalization and Discovery Growth at Amazon.com Services LLC. Skills: Machine Learning, Data Engineering, Distributed Systems, Marketing Measurement. Design and build scalable services. Power marketing measurement”

What You'll Achieve.

Impact how Prime Video invests marketing dollars; Improve content discovery for customers; Drive subscriber growth

Industry & Context.

Technology
Problems you'll solve

Tackle complex engineering challenges

What They're Looking For.

Must Have

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, 3+ years professional software development experience, 2+ years design or architecture of new and existing systems experience, 2+ years big data technologies experience

Nice to Have

3+ years full software development life cycle experience, Machine Learning and Large Language Model fundamentals experience, Ad-tech measurement, attribution methodologies, or clean room technologies experience

What You'll Do.

Design and build scalable services

Power marketing measurement

Power audience optimization

Drive content discovery

Drive subscriber growth

Lead high-impact projects

Make sound technical trade-offs

Ingest campaign performance data

Process campaign performance data

Serve campaign performance data

Integrate ML models into production services

Perform feature engineering

Partner with engineers

Partner with scientists

Partner with product managers

Partner with marketing teams

Translate business needs into technical solutions

Champion code quality

Champion operational excellence

Champion engineering best practices

Build bleeding-edge solutions

Harness machine learning

Understand customer needs

Connect customers with content

Research new channels

How You'll Work.

Team & Collaboration

Collaborate with engineers; Collaborate with scientists; Collaborate with marketing managers; Collaborate with external partners; Collaborate with data science teams; Collaborate with product managers; Collaborate with marketing teams

Process & Methodology

Design through production

Full Job Description

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 custome

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