Machine Learning Engineer, Speech - Joint Audio-Video Modeling
Tasks
- Architect implement pre train fine tune and post train diffusion and flow matching transformers
- Build speech and audio generation systems end to end
- Conduct distributed training and productionize models
- Create objective and subjective evaluation metrics
- Define data requirements and manage acquisition curation and filtering
- Design run and analyze scientific experiments
- Design train and improve audio VAEs neural codecs and vocoders
- Develop developer tooling to improve productivity
- Develop joint audio video conditioning and cross modal alignment
- Harden training evaluation and inference pipelines
- Implement safety consent guardrails watermarking and misuse mitigation
- Optimize inference efficiency for latency and cost
Perks/Benefits
- 401k retirement savings plan
- Company equity
- Complimentary lunch and snacks
- Lifestyle spending account
- Medical/Dental/Vision insurance
- One Medical membership
- Paid time off
- Parental leave
- Retirement savings plan contribution
Skills/Tech-stack
Audio Variational Autoencoder | Audio Video Alignment | Audio generation | Audio/Video | C++ | CUDA | Deep learning | DeepSpeed | Diffusion Models | Distillation | Distributed Training | Evaluation metrics | FSDP | Flow matching | Latency optimization | Machine Learning | Multimodal modeling | Neural Codec | PyTorch | Quantization | Speech Processing | Transformer | Triton | Variational Autoencoder | Vocoder | Voice Cloning
Education
N/A
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