Senior Machine Learning Engineer, Content Platform at Roku · LumiJobs

Responsibilities

We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, 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.
Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs, etc., that serve millions of transactions per second
Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We’re Excited If You Have
5+ years of experience building software solutions to concrete problems

Senior Machine Learning Engineer, Content Platform

Responsibilities

Qualification

Required

Benefits

Company

Roku

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