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Roku seeks a Software Engineer for Roku TV to develop features for Roku OS, manage code maintenance, and integrate third-party APIs in a collaborative environment. Responsibilities include working on SoC integration, collaborating with QA teams, and ensuring product scalability.

Lead the Ads Auction and Marketplace team, focusing on optimization strategies and building core auction systems while mentoring engineers and collaborating with product teams.

As a Lead ML Inference Engineer, you'll architect and develop a state-of-the-art inference platform, optimize performance, and ensure reliable ML serving for advertising applications.

Develop novel methodologies for Advertising problems using advanced statistical and deep learning techniques. Conduct research, build discriminative and generative models, and lead projects in the Advertising ecosystem.

Design, build, and operate agentic AI systems for Roku TV: prototype, architect, and deploy agents and copilots; implement RAG, tool/function-calling, orchestration, observability, evaluation, and safeguards; integrate agents with backend services and production pipelines; collaborate across teams to deliver scalable, reliable solutions.

Own end-to-end client and partner integrations for Conversion API, Audience API, and JS pixels. Troubleshoot data-quality issues, scale integrations into self-service patterns, maintain technical documentation and event schemas, monitor ingestion health, and partner with Product and Engineering to resolve incidents and improve integration pathways.

Lead marketing strategy to drive device sell-through across retail, e-tail, and direct channels. Partner with Retail Sales to plan in-store merchandising, e-tail optimization, A/B tests, and DTC promotion strategies. Own seasonal retail moments, budget allocation, ROI tracking, and cross-functional execution. Present results to senior leadership and continuously test creative, offers, and channel mix to improve conversion and revenue.

Design, operate, and scale cloud-native ML infrastructure across GCP and AWS (GPU/TPU), build CI/CD for models, maintain low-latency real-time inference systems, define observability and monitoring for ML models, participate in on-call incident response, and partner with data scientists to improve MLOps and platform usability.

Design and build scalable batch and streaming data pipelines and data models for Roku devices and clients. Own data mapping, transformations, quality standards, debugging, and performance tuning on petabyte-scale warehouses. Influence architecture and product roadmap, support existing platforms, and deliver trusted data products enabling analytics and product decisions.

Partner with business and technical teams to ensure data accuracy and process efficiency across Roku's content pipeline. Own data governance, SOX compliance support, gap analyses, feature testing, documentation, and drive automation and tooling improvements to streamline operations and reporting.