Senior Research Engineer, Computer Vision (LFV/WFM)
Tasks
- Build pipelines for ingesting converting validating serving heterogeneous datasets
- Collaborate with research scientists to implement evaluate new architectures objectives datasets training strategies
- Develop tools for dataset inspection experiment tracking model evaluation GPU resource management visualization
- Manage experiment workflows profiling debugging hyperparameter sweeps
- Optimize large scale distributed training for world foundation models
- Produce maintainable well documented code contribute to internal tooling and open source releases
- Set up shared pipelines onboard data support joint training and evaluation
- Translate research prototypes into reusable code
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | 4D reconstruction | AWS EC2 | AWS SageMaker | DDP | Data Validation | Data pipeline | Debugging | DeepSpeed | Diffusion Models | Distributed Training | Docker | Experiment tracking | FSDP | GPU Profiling | GPU resource management | HDF5 | Hyperparameter Tuning | Kubernetes | Linux | MCAP | Multi-Modal | Multi-modal datasets | Multi-view Geometry | Point clouds | PyTorch | Python | ROS | Resource Management | Transformers | Unix | Video Diffusion Models | Video diffusion
Education
Roles
Regions
Countries
States
Cities
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