ML Engineer, Generative Video
Tasks
- Build distributed training systems
- Convert research models into production systems
- Develop experimentation evaluation debugging tooling
- Implement model compression techniques
- Monitor and improve model performance in real world usage
- Optimize GPU utilization parallelism throughput
- Optimize training and inference efficiency
- Train large scale video and multimodal models
Perks/Benefits
- 401k employer match
- Catered lunch
- Commuter benefits
- Dinner stipend
- Generous PTO policy
- Grubhub subscription
- Health and wellness perks
- Medical, dental, vision plans
- Team offsites
Skills/Tech-stack
Autoregressive Generation | CUDA | Debugging | Deep learning | Diffusion Models | Distributed Training | FSDP | Knowledge Distillation | Low Latency | Low Latency Inference | Machine Learning | Model Compression | Performance Profiling | Pruning | PyTorch | Python | Quantization | Triton
Education
Regions
Countries
States
Cities
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