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Senior Applied Scientist, Linear Personalization Team; LPEX

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Applied Scientist, Linear Personalization Experience Team (LPEX)

Senior Applied Scientist, Linear Personalization Experience Team (LPEX)

Job :  |  Services LLC

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in‑class digital video experience.

As a Prime Video technologist, you’ll have end‑to‑end ownership of the product, user experience, design, and technology required to deliver state‑of‑the‑art experiences for our customers. You’ll get to work on projects that are fast‑paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

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 Prime Video Tech takes you!

Prime Video is disrupting traditional media with an ever‑increasing selection of movies, TV shows, Emmy Award‑winning original content, add‑on subscriptions, and live events like Thursday Night Football. Within this expanding ecosystem, Linear TV with its 24/7 scheduled broadcast‑style 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.

Key

job responsibilities
  • Define and drive the science strategy and multi‑year roadmap for Linear TV personalization, translating research advances into measurable business and customer experience outcomes.
  • Design, develop, and deploy machine learning models for content recommendation, viewer engagement optimization, and real‑time personalization at the scale of hundreds of millions of Prime Video customers.
  • Own the complete ML lifecycle: problem formulation, data analysis, feature engineering, model development, offline and online evaluation, and reliable production deployment.
  • Build and continuously optimize recommendation systems with strict real‑time latency requirements, ensuring that personalization decisions are delivered at speed and scale.
  • Design and execute rigorous A/B and multivariate experiments to measure recommendation quality, understand causal drivers of engagement, and iterate rapidly toward customer impact.
  • Partner with software engineering teams to product ionize ML models, defining requirements for serving infrastructure, data pipelines, and model monitoring and observability.
  • Collaborate with product managers and cross‑functional stakeholders to translate ambiguous business problems into well‑scoped, tractable science solutions.
  • Publish research findings and contribute to the broader scientific community through papers, patents, and internal knowledge‑sharing forums.
  • Mentor scientists and engineers on the team, setting a high bar for scientific rigor, experimental discipline, and ML engineering best practices.
A day in the life

We are looking for an Applied Scientist who will define and drive the science strategy for personalization and recommendations on Linear TV. You will own the end‑to‑end machine learning lifecycle from problem formulation and research through experimentation and production deployment, building systems that help millions of customers discover the right content at the right time. It's Day 1 for personalizing the linear TV experience on Prime Video, and you will be at the forefront of this innovation.

About

the team

The Linear Personalization Experience…

Position Requirements
10+ Years work experience
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