Roku is the #1 TV streaming platform in the U.S., and they are seeking a creative and passionate Machine Learning Engineer to join their TV team. The role involves exploring and implementing AI-driven improvements in Picture and Audio Quality while applying advanced ML techniques to enhance streaming experiences for millions of users worldwide.

Responsibilities

• 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

Skills

• 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

Benefits

• 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)
• Accident benefits
• Commuter benefits
• Retirement options (401(k)/pension)
• Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Company Overview

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