Senior Machine Learning Engineer - Recommendations

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the team

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators.

About the role

How will I use AI in Roku?

At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. 

We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

What you'll be doing

• Apply state of the art ML on recommendations using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
• Run online AB tests and analyze them against the critical business KPIs
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
• Help in training and mentoring new team members

We're excited if you have

• • 5+ years of experience applying Machine Learning to concrete problems at large scale.
  • Strong CS fundamentals. Should be able to write an algorithm with ease.
  • Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
  • Understanding of NLP approaches like W2V or Bert. Should be able to identify the right KPIs and Objective functions.
  • Good understanding of system architecture.
  • Have experience in big data technologies – streaming architecture, data pipelines, etc.
  • Bachelors in Computer Science, Statistics, or related field

The rest of this description is on the employer’s own page.