Software Engineer, Machine Learning
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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