Top Tech Jobs & Startup Jobs

Lead machine learning strategy and architecture for Roku’s Content Platform. Build and deploy scalable ML products using generative AI and vision models to improve content quality, discovery, and engagement. Guide MLOps infrastructure, bridge AI research with production delivery, partner with Product, Engineering, and Content Strategy, and balance long-term innovation with incremental releases and measurable business outcomes.

Design, build, and scale distributed machine learning platform services for Roku’s personalized recommendations. Develop feature stores, real-time inference systems, vector databases, APIs, and platform infrastructure serving millions of transactions per second. Run online A/B tests, monitor system and business metrics, optimize recommendation performance, collaborate with cross-functional engineering teams, and mentor team members on platform engineering practices.

Partner with Ad Sales to design and present CTV advertising strategies using Roku ad products, programmatic and measurement solutions. Drive revenue adoption, collaborate cross-functionally with product, measurement, and account teams, and develop client-specific campaigns to meet brand and performance objectives.

Design and implement core Roku platform UI features and SDK components for embedded devices. Integrate third-party C++ libraries, collaborate with product and platform teams, diagnose and resolve platform issues, and optimize performance on Embedded Linux with attention to API design, memory management, and multithreaded development.

Lead the rebuild of Roku's relevance stack using state-of-the-art ML (LLMs, transformers, deep learning, bandits) for search, ranking, and monetization. Run AB tests, analyze KPIs, collaborate cross-functionally, scale ML systems and data pipelines, and mentor/hire engineers.

Design, build, and maintain scalable, fault-tolerant batch and streaming data pipelines and a petabyte-scale data warehouse. Own data mapping, transformations, quality, performance tuning, and support of production big-data platforms while collaborating with cross-functional teams and influencing architecture and roadmap.

Design, build, and productionize scalable ML and generative-AI capabilities for identity resolution, audience modeling, attribution, and optimization. Develop data pipelines, features, experiments, and monitoring; integrate LLM/Gen-AI features and partner with product, data science, and platform teams to drive advertiser outcomes.

Design, build, and own content knowledge platforms using Generative AI and Vision models. Implement ML models for entity matching, deduplication, summarization, tagging, visual similarity, and data-quality checks. Deploy production ML pipelines, define KPI measurement frameworks, and collaborate cross-functionally to deliver scalable, secure, and high-quality user-facing systems.

Design, build, and optimize scalable backend systems and distributed data pipelines for batch and real-time processing. Implement high-performance Java services (Spring/Spring Boot), leverage big-data tools (Spark, Kafka, Flink), integrate data lakes/warehouses, and ensure monitoring, performance tuning, and high availability for large-scale data systems.

Lead lifecycle and email marketing for the TOH Insider membership: own strategy, execution, automation (Ortto), segmentation, retention and conversion campaigns, reporting, QA, and cross-functional collaboration to grow subscriptions and engagement.