Software Engineer, Machine Learning
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and they are seeking a creative and passionate Machine Learning Engineer to enhance Picture Quality and Audio Quality using AI technology. This role involves applying advanced ML techniques, collaborating with engineering teams, and building scalable systems to improve 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)
- 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 to support their evolving work and life needs
- Reasonable accommodations and adjustments in accordance with applicable law
Company Overview
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