Machine Learning Engineer, Personalization

Requirements

• Professional experience in applied machine learning
• Experience working in a product and data-driven environment
• Hands-on experience implementing or prototyping machine learning systems at scale
• Experience architecting data pipelines
• Experience with agile software processes
• Passion for fostering collaborative teams
• Experience with TensorFlow, pyTorch, and/or other scalable ML frameworks

What You'll Be Doing

• Develop and implement production systems to improve user experience
• Contribute to designing, building, and refining Spotify's product through ML development
• Drive optimization, testing, and tooling to enhance recommendations
• Perform data analysis to inform product decisions
• Collaborate with cross-functional teams to build new technologies and features
• Stay up-to-date on the latest ML algorithms and techniques

Perks and Benefits

• Extensive learning opportunities through GreenHouse
• Flexible share incentives
• Global parental leave for new parents
• Employee assistance program and self-care hub
• Flexible public holidays