Teamlead AI Engineering - NeuraGym (human)
Tasks
- Bridge teams across cloud and core AI
- Conduct simulation training
- Coordinate on site robotics experiments
- Debug model related issues
- Define data collection strategies
- Define key skill performance metrics
- Deploy and validate robotic models
- Drive continuous improvement using metrics
- Ensure safety during real world data collection
- Evaluate new robotic use cases
- Investigate data quality issues
- Lead AI engineering team
- Manage training pipeline end to end
- Oversee teleoperation data pipeline
- Own technical relationship with partners
- Provide technical support for training pipelines
- Select machine learning algorithms
- Translate deployments into product roadmap improvements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud Computing | Cloud platform | Computer Vision | Data Pipelines | Deep learning | Google Cloud | Google Cloud Platform | Imitation Learning | Isaac Sim | Machine Learning | Model Training | Model Validation | Mujoco | Multimodal Learning | NVIDIA Isaac | NVIDIA Isaac Sim | PyTorch | Python | Reinforcement Learning | Robotic middleware | Robotics | Robotics deployment | Robotics simulation | Safety engineering | Teleoperation | TensorFlow | Vision-language | Vision-language-action
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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