Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Train, fine-tune, evaluate, and optimize large language models using techniques such as SFT, distillation, and LoRA.
Spotify is a leading audio streaming platform that connects listeners with music and podcasts. The company has thousands of employees worldwide and fosters a culture of inclusivity, creativity, and forward-thinking.
Lead end-to-end program management for large-scale ML and personalisation initiatives, uniting engineering, data science, product, and design.
Drive delivery of recommendation systems and personalization models, owning roadmaps, milestones, dependencies, and risk plans.
Orchestrate ML development workflows from training pipelines to production deployment, and keep leadership informed with clear metrics and reporting.
Spotify is a global audio streaming service that helps millions of listeners discover music, podcasts, and audiobooks through personalized recommendations. The company is a large, inclusive workplace that values diverse perspectives and offers flexible work arrangements.
Design, build, and improve machine learning training and inference pipelines for AI-driven music experiences.
Apply machine learning and prompt engineering across complex ML pipelines to support large language model features.
Create evaluation frameworks with LLM-as-judge pipelines to measure quality and enable rapid iteration.
Spotify is a digital music service that provides access to millions of songs. With over 700 million monthly active users, Spotify fosters a culture of innovation and collaboration, prioritizing artist-first principles in its AI music lab.