Senior Research Engineer, Computer Vision (LFV/WFM)
Tasks
- Build and maintain distributed training workflows
- Collaborate with research scientists on experiments and evaluation
- Develop dataset and experiment tools for inspection tracking and evaluation
- Develop tools for GPU resource management and visualization
- Implement and iterate on new model architectures
- Ingest convert validate and serve heterogeneous multimodal datasets
- Manage experiment workflows profiling debugging and hyperparameter sweeps
- Ship trained models to real world robotics and autonomous driving applications
- Support large scale distributed training on GPU clusters
- Translate research prototypes into production grade code
Perks/Benefits
- 401k eligibility
- Annual cash bonus
- Dental insurance
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
3D Reconstruction | 4D reconstruction | AWS EC2 | AWS SageMaker | DDP | Data Pipelines | Debugging | Deep learning | DeepSpeed | Diffusion Models | Distributed Training | Docker | Experiment tracking | FSDP | GPU Profiling | HDF5 | Kubernetes | Linux | Machine Learning | Multi-view Geometry | Multimodal datasets | Point clouds | PyTorch | Python | Transformer Models | Unix | Video diffusion
Education
Regions
Countries
States
Cities
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