Senior Machine Learning Engineer - AdTech

Roku·Cambridgesenior

In short

→Ingeniero ML senior que construye modelos de anuncios en tiempo real para una plataforma de streaming de alto impacto.
→Trabajas con Spark, Python y Java para llevar modelos desde la investigación hasta la producción a escala.
→Destacado: se valora experiencia con agentes de IA para acelerar el desarrollo y la productividad.

Fluency in English is required for collaboration across global teams.

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What they ask for

✓Experiencia senior en ingeniería ML, idealmente en ad tech o sistemas de recomendación.
✓Conocimiento sólido en fundamentos de ML, ingeniería de características y evaluación de modelos.
✓Experiencia práctica con Spark, Python y Java en entornos de ML en producción.
✓Capacidad para construir e mantener infraestructura de ML en tiempo real con baja latencia.
✓Habilidad para diagnosticar problemas en producción como desplazamiento de modelo o clasificación de larga cola.
✓Experiencia con agentes de IA o herramientas de automatización para mejorar la eficiencia del desarrollo.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SparkPythonJavaML modelsreal-time servinglow-latency infrastructurefeature engineeringmodel evaluationmodel driftad relevance

Who should you write to at Roku?

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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? Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. Roku enables our users to access millions of pieces of content — movies, episodes, news, sports, music, and channels — from all around the world, and our advertising systems connect advertisers to that audience at scale. What is the role? You’ll join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning modelling, large-scale training, and production infrastructure — you’ll take models from idea through to serving at scale, working in Spark, Python, and Java. You’ll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored). 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 you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and 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? • Design, train, and ship ML models for ad relevance and bid/yield optimization • Build and maintain production ML infrastructure for real-time, low-latency serving • Work across Spark, Python, and Java to move models from research to production • Apply sound feature engineering, validation, and evaluation practices throughout the modelling lifecycle • Diagnose production ML issues such as model drift or long-tail classification problems • Communicate technical trade-offs clearly to engineering and cross-functional partners What experience would help someone be successful in this role at Roku? • Senior-level ML engineering experience, ideally with exposure to ad tech, recommendation, or auction systems • Strong grounding in ML fundamentals, feature engineering, and model evaluation • Experience with Spark, Python, and Java in production ML settings • Comfort with production ML infrastructure and real-time, low-latency serving requirements • Demonstra

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