Machine Learning Engineer, Speech LLM Training - San Francisco
Tasks
- Build and train large scale speech models
- Debug performance bottlenecks
- Design sequence modeling architectures
- Develop speech model training pipelines
- Manage GPU memory utilization
- Optimize distributed training clusters
- Optimize edge device speech model performance
- Serve low latency speech model inference
Perks/Benefits
- 401k matching
- Healthcare Dental Vision
- Hybrid work
- New parent leave
- Office Stocked
- Paid Holidays
- Paid Offsites
- Unlimited PTO
Skills/Tech-stack
Automatic Speech Recognition | DeepSpeed | Distributed Training | FSDP | GPU Memory Optimization | GPU memory | JAX | Kubernetes | Language Models | Large Language Models | Memory Optimization | PyTorch | Python | SGLang | Sequence Modeling | Speech Recognition | Speech synthesis | TensorRT-LLM | VLLM
Education
N/A
Regions
Countries
States
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