ML Engineer, Generative Video
Tasks
- Build distributed training systems
- Deploy research models to production
- Develop experimentation evaluation debugging tooling
- Implement model acceleration techniques
- Improve low latency real time generation
- Monitor and improve model performance
- Optimize GPU utilization parallelism throughput
- Optimize training and inference efficiency
- Train large scale video models
Perks/Benefits
- 401k match
- Catered lunch
- Commuter benefits
- Dental insurance
- Dinner stipend
- Generous PTO
- Grubhub subscription
- Health and wellness perks
- Medical insurance
- Team offsites
- Vision insurance
Skills/Tech-stack
Autoregressive models | CUDA | Debugging | Deep learning | Diffusion Models | Distributed Training | FSDP | Inference Optimization | Knowledge Distillation | Machine Learning | Model Compression | Performance Profiling | Pruning | PyTorch | Quantization | Triton
Education
Regions
Countries
States
Cities
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