Hybrid Engineering Manager – Machine Learning

at Epidemic Sound

• Job title: Engineering Manager – Machine Learning
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: PyTorch
• Location requirements: Hybrid, Stockholm, Sweden

About the role

• Engineering Manager leading ML Soundtrack teams on AI music adaptation and foley generation. Responsible for technical leadership and project delivery in audio/music generative AI.

Responsibilities

• Own the technical roadmap and model strategy for generative music, including diffusion and transformer-based approaches
• Lead the full lifecycle from research to production, championing training, evaluation, and deployment for real-time inference
• Drive the productionisation of inference through model optimisation (distillation, quantisation), caching, and cost controls
• Build and maintain team health through effective rituals, 1:1s, and fostering a psychologically safe, high-ownership culture
• Manage cross-team dependencies and delivery with data, MLOps, and product engineering teams

Requirements

• Deep ML engineering background with hands-on experience in generative diffusion models for audio/music (including PyTorch and modern training stacks)
• Proven experience deploying ML systems into production at scale, with a focus on latency, stability, and cost
• Strong ML system design and architecture skills across the full machine learning lifecycle
• Track record of managing engineering teams
• Demonstrated ability to set clear goals, manage performance, and grow engineers through mentorship and feedback

Benefits

• Equal opportunity employer
• Health workplace
• Professional development