Spotify is seeking Machine Learning Engineer Interns to work on personalization recommendation and content understanding systems that power the music experience for millions of listeners worldwide.

Responsibilities:

• Apply machine learning collaborative filtering and deep learning to massive datasets

• Build and prototype new algorithms for music and podcast recommendations

• Scale solutions to serve hundreds of millions of active users globally

• Collaborate with cross-functional teams including engineers data scientists and product managers

• Contribute to features like Discover Weekly Daily Mix and personalized playlists

Requirements:

• Currently pursuing Bachelor's or Master's degree in Computer Science Machine Learning or related field

• Expected graduation year of 2026 or 2027

• Strong coding skills in Python and ML frameworks like TensorFlow or PyTorch

• Understanding of machine learning algorithms and recommendation systems

• Experience with large-scale data processing and analysis

Perks:

• Hourly rate of USD 49 plus USD 2253 one-time intern stipend

• Work on ML systems impacting millions of music listeners

• Extensive learning opportunities through Spotify's GreenHouse program

• Hybrid work model with 3 days per week in office

• Access to exclusive speaker series and networking events