Spotify is a global audio streaming platform launched in 2008, offering over 70 million tracks for free or with premium features like offline listening and ad-free experience. As the most popular music streaming service with 365 million users, including 165 million subscribers across 178 markets, Spotify empowers artists to earn from their work while providing fans unparalleled access to diverse music.
Open Positions
Senior Research Scientist - Music
PhD in related field. Experience in generative modeling, machine learning, or similar areas. Proficiency in Python & PyTorch. Publications in relevant communities
Staff Research Scientist - Music
Ph.D. in a relevant field. Experience with generative AI and ML. Strong coding skills in Python, PyTorch, and NumPy
Principal Research Scientist - Music
Ph.D. degree in related field. Experience with generative modeling, ML, and audio processing. Strong coding skills (Python, PyTorch, NumPy)
Senior Research Engineer - Music
Experience with PyTorch and GPU training, cloud platforms (Google Cloud, AWS, Azure) and debugging of ML models are required. Strong computer science fundamentals and proficiency in optimization techniques are expected
Principal Research Scientist - Music
PhD in related field. Experience with generative models, machine learning, and/or audio processing. Strong coding skills (Python, PyTorch, NumPy)
Payroll Specialist
3+ years of payroll experience. Proficiency in Workday & ADP SmartCompliance is essential. Bachelor’s degree in related field and analytical skills are needed
Mobile Engineer (Android / C++) - User Platform
Proficiency in Android internal architecture. C++ and Kotlin experience. Collaborative spirit and drive for business impact
Senior Staff Machine Learning Engineer
ML background, production experience with Java/Scala/Python, and model training skills are needed. Leadership and communication skills are vital, alongside a strong bias to action
Research Scientist, Personalization
PhD in related field with expertise in language technologies & recommender systems. Solid data skills and experience with projects
Senior Research Engineer - Music
Experience with GPU training, cloud platforms (GCP, AWS, Azure), debugging ML models and code optimization are key. Computer science fundamentals are also important
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