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 getting the data needed to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
• Passion for agile software processes, data-driven development, reliability, and disciplined experimentation

What You'll be Doing

• Build production systems to enrich and improve user experience
• Contribute to designing, evaluating, and refining Spotify's product through ML development
• Prototype new approaches and scale solutions for active users
• Drive optimization, testing, and tooling to improve quality
• Perform data analysis to inform product decisions
• Collaborate with cross-functional teams to build new technologies and features

Perks and Benefits

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