Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
Staff Machine Learning Engineer
September 16
🇬🇧 United Kingdom – Remote
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
Spotify
Media • B2C • eCommerce
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
📋 Description
• Define and drive the ML technical strategy for Search, focusing on retrieval, ranking, and generative approaches • Build models that improve query understanding, personalization, and relevance across Spotify’s Search experiences • Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering • Prototype and productionize new modeling approaches at scale, serving hundreds of millions of users worldwide • Lead high-impact projects from ideation through deployment, setting best practices for ML development, testing, evaluation, and experimentation • Partner with tech leaders and stakeholders to influence priorities and ensure long-term scalability and impact • Stay engaged with the broader ML and Search research community, applying emerging trends to Spotify’s challenges
🎯 Requirements
• Strong background in machine learning and recommender systems • Hands-on experience training and operating transformer models in production, or strong interest in doing so • Production experience developing large-scale ML systems in Java, Scala, Python, or similar languages • Experience with PyTorch or TensorFlow is a strong plus • Comfortable navigating ambiguity and leading high-impact projects end-to-end • Systems thinker and strong communicator able to align and influence stakeholders • Experience with agile processes, data-driven development, and reliability • Eager to apply LLMs and generative recommenders to product challenges
🏖️ Benefits
• Flexibility to work where you work best (remote within European region) • Work within GMT/CET collaboration timezone • Ability to be based in listed work locations such as London or Stockholm • Note: France excluded due to on-call restrictions
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