Overview

Teamwork makes the stream work.

Responsibilities

• Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences for millions of Roku users
• Designing and implementing advanced Machine Learning models for entity matching, data deduplication, and Generative AI tasks such as content summarization deduping and metadata quality
• Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging
• Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI
• Creating products that provide exceptional user experiences while meeting performance, security, quality, and stability requirements

Qualifications

• 7+ years of experience applying Machine Learning and GenAI to solve concrete problems at large-scale
• Strong CS fundamentals, with the ability to design algorithms for real-world challenges
• Expertise in machine learning fundamentals, including deep generative models (GANs, VAEs), transformers, tree-based methods, and sequence-based models
• Proven familiarity with NLP approaches like BERT, GPT, or related architectures, as well as Vision-based approaches like ResNet, EfficientNet, or CLIP
• A track record of building in-production Machine Learning systems, including deploying Generative AI and Vision Model-based pipelines
• Knowledge of system architecture and experience with big data technologies (e.g., streaming architectures, scalable data pipelines)
• An understanding of state-of-the-art Vision Models for tasks such as image classification, object detection, and multimodal learning
• MS in Computer Science, Statistics, or a related field is required; a Ph.D. in CS or related fields is preferred

Benefits

• At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact.
• We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.