Machine Learning Engineer II, Content Understanding

Requirements

• Professional experience in applied machine learning
• Experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)
• Hands-on experience implementing or prototyping machine learning systems at scale
• Experience architecting data pipelines and self-sufficiency in getting the data needed to build and evaluate models
• Experience with agile software processes, data-driven development, reliability, and disciplined experimentation

What You'll Be Doing

• Build production systems to improve the user experience on the platform
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product through hands-on ML development
• Prototype new approaches and productionize solutions at scale for millions of active users
• Drive optimization, testing, and tooling to enhance quality
• Perform data analysis for baselines and product decisions
• Collaborate in a cross-functional agile team to develop new technologies and features

Perks and Benefits

• Extensive learning opportunities through Spotify's dedicated team, GreenHouse
• Flexible share incentives for sharing in company success
• Global parental leave of six months fully paid for new parents
• All The Feels, an employee assistance program and self-care hub
• Flexible public holidays to adjust days off according to personal values and beliefs