Group Lead AI Engineering - NEURAGym (human)
Tasks
- Aggregate lessons learned for product roadmap
- Collaborate with robotics engineers on data capture
- Coordinate teleoperation and annotation
- Define and track team KPIs
- Ensure safety and desired behavior standards
- Hire and mentor engineering team
- Identify data issues and reproduce model bugs
- Interface with cloud and AI teams
- Lead model training and simulation
- Oversee user onboarding pipeline
- Plan data collection
- Review training scripts and debug model failures
- Scope feasibility and choose algorithms
- Serve as technical lead and escalation point
- Support deployment and validation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Annotation | Azure | Cloud Computing | Cloud platform | Computer Vision | Data collection | Deployment | Google Cloud | Google Cloud Platform | Imitation Learning | Isaac Sim | Machine Learning | Mujoco | Multimodal Learning | PyTorch | Python | Reinforcement Learning | Robotics | Simulation | Teleoperation | TensorFlow | Validation
Education
Regions
Countries
States
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