Machine Learning Engineer - Voice Conversion

📋 Description

• Build state-of-the-art speech systems end-to-end—from data specs through production inference.
• Drive the model ↔ data ↔ eval flywheel for VC and related tasks (controllable TTS, voice design).
• Collaborate with research, data, and infra to ship fast, reliable, cost-aware models.
• Own work end-to-end, bridging research and engineering.
• Design experiments, listen tests, and metrics aligned with user-perceived quality.
• Develop robust tooling and contribute to the full stack from low-level optimizations to model

🎯 Requirements

• Exceptional research/development experience with large-scale audio models (>8B parameters
• Hands-on with diffusion/flow-matching transformers; practical knowledge of samplers, schedules
• Experience training audio VAEs, neural audio codecs, vocoders; perceptual objectives, adversarial
• Multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent).
• Strong software engineering skills; production-quality code.
• Proficiency with PyTorch; performance work (profiling, CUDA/Triton/C++).

🎁 Benefits

• Competitive salary with equity
• Medical, dental, vision insurance
• Generous PTO and holidays
• Parental leave & fertility support
• 401(k) retirement savings plan
• Lifestyle spending account