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

Ever wondered how streaming platforms know which ad drove you to watch your next favorite show Were 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 youre 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.

Youll 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.

Well 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 Videos 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.

Were 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. Were a tight-knit group that thrives on mutual respect continuous learning and a shared passion for pushing the boundaries of entertainment technology.

- Bachelors 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

- 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)

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 for more information. If the country/region youre applying in isnt 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 WA SEATTLE - 143700.00 - 194400.00 USD annually