Senior Machine Learning Engineer - Personalization

Design, train, and ship machine learning models that power recommendations on the Now Playing View for hundreds of millions of users

Own ranking systems end-to-end, from experimentation and training pipelines to online serving and monitoring

Build and iterate on generative and agentic ML approaches to improve session steering and cross-content discovery

Work in an AI-native development environment, using AI tools to accelerate development while applying strong engineering judgment

Run A/B experiments, define success metrics, and translate improvements into measurable user impact

Collaborate closely with engineers, data scientists, researchers, and product managers to bring ideas into production

Shape the ML roadmap by identifying high-impact opportunities and mentor teammates

You have hands-on experience building recommendation or personalization systems at scale

You’re comfortable working across the ML stack, including pipelines, backend systems, and infrastructure

You think in products and understand how model decisions impact user experience

You’re fluent with AI-assisted development and use it to accelerate experimentation thoughtfully

You’re curious about emerging approaches like generative models and agentic ML systems

You’ve taken models from prototype to production and care about reliability and monitoring

You’re comfortable with ambiguity and enjoy defining new approaches in evolving problem spaces

This role is based in London

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.