Machine Learning Engineering Manager - Music

📋 Description

• Lead and support a team of research engineers and ML engineers.
• Define and deliver the engineering roadmap balancing fast experimentation with production readiness.
• Build and scale ML infrastructure, including training pipelines and experimentation systems.
• Partner with researchers, product managers, and platform teams to deploy research into features.
• Improve engineering practices: testing, reproducibility, and deployment workflows.
• Transition research prototypes into reliable, scalable production systems.

🎯 Requirements

• Experience leading or managing engineering teams, ideally ML or research.
• Experience with ML systems/frameworks such as PyTorch, TensorFlow, or JAX.
• Understand distributed systems and large-scale training or compute environments.
• Communicate clearly and collaborate across research and engineering disciplines.
• Partner with product and cross-functional teams to deliver meaningful outcomes.
• Delivered complex technical projects and balance experimentation with reliability.