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
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