Teamwork makes the stream work. , 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

The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms.

About The Role

Roku's Entertainment Assistant team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of Roku's Entertainment Assistant and be part of a world-class team. For Massachusetts Only - The estimated annual salary for this position is between $216,000 - $273,400 annually.

Compensation

packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.

Benefits

, parental leave, wellness

, and paid time off How will I use AI at 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.

Senior Machine Learning Engineer, Voice Assistant