Senior Software Engineer, Machine Learning

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. What does the team work on? The Ad Engineering team builds the platform behind Roku's advertising business. Within Ad Engineering, the Business Applications team owns the systems and tooling that power the advertising revenue lifecycle. The platform internal teams and advertisers rely on to plan, price, book, and grow campaigns at scale. What is the role? We are hiring a Senior Engineer to lead the architecture and implementation of a next-generation, agent-native, AI-powered business applications platform. This is a high-impact role focused on building intelligent, recommendation-driven experiences that make day-to-day revenue decisions — with pricing, booking, upsells, retention, and media planning — faster, smarter, and more accessible to the teams that run Roku's advertising business. You will architect and build the end-to-end system for AI-driven recommendations and decisioning, from business and customer signals through to actionable, validated outputs. You will work closely with ML, backend, frontend, data, and business stakeholders to deliver a production-ready platform that improves speed, accuracy, and scalability across the advertising revenue workflow. This role involves defining the technical architecture and overall stack for an agent-native business applications platform spanning pricing guidance, booking and order intelligence, upsell recommendations, churn and retention prediction, media planning, deal scoring, revenue forecasting, and more. You will drive technical decisions that directly influence revenue impact, product quality, scalability, and time-to-market. How will I use AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? p]:inline" data-streamdown="list-item">Define the technical architecture and overall stack for an agent-native business applications platform spanning pricing guidance, booking and order intelligence, upsell recommendations, churn and retention prediction, media planning, deal scoring, revenue forecasting, and more p]:inline" data-streamdown="list-item">Evaluate LLMs, multimodal systems, multi-agent orchestration frameworks, and recommendation, ranking, and forecasting models for product use p]:inline" data-streamdown="list-item">Design and build the pipeline from business and customer signals to model inference, recommendation generation, output validation, and integration with internal revenue systems and APIs p]:inline" data-streamdown="list-item">Build production-grade systems with st…