Technical Architect - Business

Teamwork makes the stream work. Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

Roku Advertising powers a multi-billion-dollar business and operates at the scale of one of the largest CTV ad platforms in the US. We're looking for a Senior Machine Learning Engineer to drive the next evolution of how this business runs, partnering closely with advertising business stakeholders, product management, and engineering teams to transform our operations using machine learning and agentic AI systems.

You’ll apply intelligence across the entire Roku advertising business lifecycle, including pre‑sales, booking, campaign management, delivery, and revenue workflows, building agents that recommend, automate, and optimize decisions from end to end. Your work will directly influence how a multi‑billion‑dollar revenue base is planned, executed, and measured.

This is not a research‑only role. You will own production‑grade ML and agentic systems that create measurable business impact, set the technical direction for AI‑native operations, and lead other engineers with technical direction.

For Massachusetts Only – The estimated annual salary for this position is between $250,000 – $450,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

• Develop and oversee technical strategy for Roku’s platform that supports diverse business applications.
• Drive the AI‑native transformation of Roku's advertising business operations, identifying high‑leverage opportunities and influencing roadmap, architecture, and system design across multiple teams.
• Start from the needs of internal engineers and business operators, bringing a creative and strategic approach to simplifying systems and introducing practical, high‑impact solutions.
• Work closely with advertising business stakeholders to identify needs, surface high‑impact opportunities, and translate operational pain points into ML and agentic AI solutions.
• Design and ship production ML and agentic systems end‑to‑end, including recommendation, personalization, ranking, forecasting, anomaly detection, and multi‑agent or agent‑to‑agent workflows, embedded directly within product and operational systems where they drive decisions.
• Apply GenAI and LLMs to deliver measurable value by building and scaling Retrieval Augmented Generation (RAG) pipelines, prompt orchestration, evaluation frameworks, and guardrails, with a focus on reliability and outcomes over hype.
• Translate ambiguous business problems into production solutions, partnering with engineers, data scientists, product managers, and business teams to ground ML and AI work in real operational impact.
• Build and operationalize evaluation loops covering precision and recall, calibration, drift detection, and human‑in‑the‑loop systems, and define the dashboards and Service Level Objectives (SLO) that tie model performance to business outcomes.
• Provide technical leadership across the broader ML and AI surface area, raising the bar for engineering rigor, mentoring engineers, and shaping how the organization thinks about AI‑native systems.

• Master’s or PhD in Computer Science, Mathematics, Statistics, or a…