Roku-posted 4 months ago
$130,000 - $200,000/Yr
Full-time • Entry Level
San Jose, CA

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.

  • Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV
  • Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines
  • Research, understand, and implement technical papers on ML/DL to solve complex challenges
  • Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions
  • Run experiments and analyze results against critical business KPIs
  • 1+ years of experience applying Machine Learning to concrete problems at scale
  • Strong CS fundamentals; ability to write efficient algorithms with ease
  • Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch
  • Proficiency in coding firmware development using C++
  • Proficiency in coding ML/DL algorithms using Python
  • Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models
  • Familiarity with video processing pipelines and audio pipelines
  • AI literacy and curiosity—whether through previous work or personal exploration
  • Excellent communication skills, strong work ethic, and works with minimum supervision
  • Have hands-on experience with edge devices like jetson nano, kadas, and similar
  • Research background preferred; ability to understand and implement technical papers on ML/DL
  • Published papers in the field of ML/DL are a bonus
  • Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred
  • Global access to mental health and financial wellness support and resources
  • Healthcare (medical, dental, and vision)
  • Life, accident, disability insurance
  • Commuter benefits
  • Retirement options (401(k)/pension)
  • Paid time off for vacation and personal reasons
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