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Mid LevelFull-timePythonRustC++Machine LearningTensorFlowPyTorchAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology.
Key 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
Requirements
- ✓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
