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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.

Architect and lead the development of a state-of-the-art inference platform focusing on low latency and scalability for advertising. Oversee performance optimization and collaborate with cross-functional teams.

The role involves designing, building, and maintaining AI agents for Roku TV, managing their development lifecycle, and ensuring performance in production environments.

Own and drive the product roadmap for Roku's targeting and audience activation surface: segment creation, curation, modeling, distribution, integrations, and measurement. Partner with engineering, data science, sales, privacy, and external partners to scale audiences across direct, self-serve, and programmatic activation while optimizing coverage, latency, adoption, and revenue.

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.

As a Senior Machine Learning Engineer, you will develop advanced machine learning and deep learning models and platforms for optimizing advertising performance and conduct complex experiments.

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.

The role involves negotiating commercial agreements, advising on data privacy, collaborating across teams, and utilizing AI legal tools within Roku's advertising business.

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.

Design and build scalable, fault-tolerant batch and streaming data pipelines and data models for Roku devices and clients. Maintain petabyte-scale data warehouse, ensure data quality, optimize performance, debug large clusters, and collaborate across teams to deliver trusted analytics products and influence roadmap.