Applied AI Engineer
Tasks
- Apply AI methods to robotic customer tasks
- Assess feasibility of new customer tasks for robotic systems
- Collaborate across AI robotics product and commercial teams for reliable operation
- Develop tooling and workflows for model training deployment and monitoring
- Monitor training data quality and collection progress
- Own model training runs evaluation and iteration
- Translate customer learnings into AI requirements and product workflow improvements
Perks/Benefits
Skills/Tech-stack
Data Management | Data Pipelines | Deep learning | Machine Learning | Model Evaluation | Model Training | PyTorch | Python | Robotic hardware | Robotics | Training data | Training data management
Education
Roles
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