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Roku Logo Roku · IT - Software Development

Senior Machine Learning Engineer

United Kingdom, Cambridge · Job Posted July 04, 2026
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Job Description

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.

Job Responsibility

  • ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
  • Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
  • Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
  • Production operations: Low-level systems debugging, performance measurement, and optimization on large production clusters
  • Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions
  • Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends

Requirements

  • Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
  • Demonstrated production experience in applied machine learning, with PhD-level research and implementation experience considered a strong accelerator
  • Great coding skills and strong software development experience (we use Spark, Python, Java)
  • Familiarity with real-time evaluation of models with low latency constraints
  • Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc
  • Ability to work with large scale computing frameworks, data analysis systems, and modeling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB

Nice to have

Ad tech background is a plus

What we offer

  • Global access to mental health and financial wellness support and resources
  • Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
  • Employees are supported in taking time off, in accordance with local leave policies and other personal needs
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