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Roku Logo Roku · IT - Software Development

Senior Machine Learning Engineer

United States, San Jose Employment contract 229500.00 - 360000.00 USD / Year · Job Posted June 09, 2026
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Job Description

Roku is changing how the world watches TV. The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. 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.

Job Responsibility

  • 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

Requirements

  • 5+ years of experience building software solutions to concrete problems
  • Strong CS fundamentals. Should be able to write an algorithm with ease
  • You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
  • We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
  • Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
  • AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it
  • MS in Computer Science or related field

What we offer

  • health insurance
  • equity awards
  • life insurance
  • disability benefits
  • parental leave
  • wellness benefits
  • paid time off
  • global access to mental health and financial wellness support and resources
  • healthcare (medical, dental, and vision)
  • life, accident, disability, commuter, and retirement options (401(k)/pension)
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