Senior ML Engineer, Fauna
Tasks
- Build and maintain MLOps infrastructure
- Debug end-to-end training runs
- Design and run simulation experiments
- Optimize models for edge deployment
- Train and iterate neural network policies
- Transfer results from simulation to hardware
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Quality | Distributed Training | Edge Deployment | Evaluation Pipelines | Experiment tracking | GPU clusters | MLOps | Machine Learning | Model versioning | NVIDIA Jetson | Neural Networks | Reinforcement Learning | Supervised Learning
Education
N/A
Regions
Countries
States
Cities
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