Senior Software Engineer, Machine Learning

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. As we strive to influence the future of television globally, including TV  advertising, our continued success on this front requires us to lead with best-in-class Content Management System. With Roku providing millions of movies, episodes, news, and channels, our Content Management System plays a vital role 
in managing content ingestion, selection, enrichment, quality control and curation. We are seeking machine learning engineers capable of building intelligent, scalable systems and models that can automate media quality control, analyze vast volumes of content, and ensure video, audio, and closed captions meet our high standards before reaching millions of users.

About the Role

Roku is shaping the future of streaming, and our continued success depends on investing in our Cloud TV Platform. As part of the CMS and Tools Engineering team, you'll help build an intelligent, scalable Media Quality Control platform that ensures video, audio, and captions meet high standards before reaching millions of users.nYou'll develop ML-powered workflows that support key functions like Search and Recommendation, directly impacting the user experience. This role involves close collaboration across engineering, product, and strategic partners. We're looking for a driven problem solver with strong technical and communication skills, excited to lead critical systems that power Roku’s core content pipeline.

What you’ll be doing

• Building and owning the next generation of media quality control platforms and other algorithms/systems that create high quality and unique experiences for millions of Roku users.
• Design and develop machine learning models and computer vision algorithms to automate the quality control process for video and audio, ensuring media quality by analyzing attributes such as frame rate consistency, color accuracy, noise detection, and loudness normalization across an expanding content catalog.
• Create and optimize tools for evaluating closed captioning accuracy,  synchronization, and quality.
• Researching and developing advanced AI algorithms, including Vision Models for visual content analysis, and enhancing the Media Understanding Models.
• Collaborate with cross-functional teams, including product, engineering, and content operations, to align technical solutions with business needs.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects.
• Manage individual project priorities, deadlines and deliverables with limited supervision.

We’re excited if you have

• 7+ years of experience applying Machine Learning and Generative AI to real-world, large-scale problems, with a strong foundation in algorithm design and computer science fundamentals
• Deep understanding of modern deep learning architectures (e.g., transformers), training paradigms, fine-tuning techniques, loss functions, and optimization methods
• Proficiency in programming languages such as Python, C++, or Java, along with hands-on experience using ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Expertise in computer vision, including deep learning models for video/image analysis, with practical experience using OpenCV and FFmpeg for media processing tasks
• Experience building scalable data processing pipelines and deploying ML solutions on cloud platforms such as AWS (preferred), GCP, or Azure
• Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders
• Collaborative mindset, with the ability to thrive in dynamic, fast-paced environments
• Degree in Computer Science, Electrical Engineering, AI/ML, or a related field; a Ph.D. is a plus
  
  

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