Machine Learning Engineer, Speech - Joint Audio-Video Modeling

📋 Description

• Own audio side of multimodal generation end-to-end.
• Design/train audio VAEs, neural codecs, vocoders.
• Build diffusion/flow-matching models for AV generation.
• Design audio conditioning and cross-modal alignment in AV models.
• Run experiments and evaluations; drive data quality and metrics.
• Lead small projects and collaborate cross-team.

🎯 Requirements

• Experience with large-scale audio models (>8B params).
• Diffusion/flow-matching transformers; samplers, schedules, conditioning, distillation.
• Training audio VAEs, neural codecs, vocoders; objectives.
• Multi-node, multi-GPU distributed training (FSDP/DeepSpeed).
• Strong software engineering; production-grade PyTorch code.
• Shipped speech/audio or multimodal models to production.

🎁 Benefits

• Competitive salary and equity.
• Medical, dental, and vision insurance premiums covered.
• 42 days paid time off annually.
• 401(k) retirement plan.
• Lifestyle spending account – $500/month.
• In-office meals and One Medical membership, and more.