Senior ML Engineer, Fauna
Tasks
- Build data pipelines and labeling infrastructure
- Build scalable ML training infrastructure
- Collaborate with research teams for productionization
- Deploy ML models for robotic hardware
- Develop experiment tracking and model versioning systems
- Ensure model reproducibility
- Manage distributed training pipelines
- Optimize model inference for edge devices
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Cluster management | Data Pipelines | Data labeling | Distributed Training | Edge Computing | Experiment tracking | GPU Cluster | GPU Cluster Management | Inference Optimization | Machine Learning | Model Deployment | Model versioning | On-prem | On-prem infrastructure | Reproducibility | Robotics
Education
N/A
Regions
Countries
States
Cities
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