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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.

Lead the design and implementation of scalable, highly available payment platform features and shared architectural systems. Build production services using AI coding agents, review and integrate generated code, evaluate technologies, guide architecture and technical roadmaps, mentor engineers, and champion engineering excellence across development, QA, and infrastructure. The role is approximately 70% hands-on coding and requires deep expertise in payment systems, cloud platforms, transactional architectures, compliance, vendor evaluation, and CI/CD.

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.

The role involves designing, developing, and maintaining a real-time advertising platform, collaborating with engineering teams, and ensuring best practices in software delivery.

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.

As a Senior Software Engineer, you'll design and maintain real-time advertising applications, collaborating with teams to deliver high-quality software while promoting best practices and innovation in the advertising domain.

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.