Teamlead AI Engineering - RoboGym (Mensch)
Tasks
- Assess technical feasibility
- Bridge teams across cloud and core AI teams
- Coordinate with robotics engineers during live data capture
- Define and track key performance metrics
- Design data capture strategies
- Engage with customers to define use cases
- Investigate data quality issues
- Lead AI engineering team
- Manage simulation training and deployment
- Oversee teleoperation and training pipeline
- Provide technical support for training pipelines
- Reproduce and fix model bugs
- Select algorithms for data capture
- Translate deployment learnings into product roadmap
- Validate deployed robot skills
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C++ | Cloud Computing | Computer Vision | Data Efficiency | Data Pipelines | Deployment | Embodied AI | Foundation Models | GCP | Imitation Learning | Isaac Sim | Machine Learning | Model Training | Mujoco | Multimodal Foundation Models | PyTorch | Python | Reinforcement Learning | Robotics Software | Robotics middleware | Simulation | Skill Success Rate | Success Rate | Teleoperation | TensorFlow | Time to Validated Skill | Vision-language | Vision-language-action
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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