ML Engineer, Generative Video
Tasks
- Build distributed training systems
- Develop experimentation evaluation and debugging tooling
- Implement distillation quantization and pruning
- Improve training and inference efficiency
- Monitor and improve model performance
- Optimize GPU utilization and throughput
- Train and optimize video and multimodal models
- Translate research models into production systems
Perks/Benefits
- 401k matching
- Catered lunch
- Commuter benefits
- Dental insurance
- Dinner stipend
- Grubhub subscription
- Health insurance
- Paid time off
- Team offsites
- Vision insurance
- Wellness perks
Skills/Tech-stack
Autoregressive models | CUDA | Debugging | Deep learning | Diffusion Models | Distributed Training | FSDP | Knowledge Distillation | Machine Learning | Model Pruning | Performance Profiling | PyTorch | Quantization | Triton
Education
Roles
Regions
Countries
States
Cities
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