AI/ML Engineer - Automation/Robotics
Summary
Build and maintain AI/ML systems for robotics, including training evaluation pipelines, model fine-tuning, deploying algorithms in simulation and on physical hardware, and integrating robotic control and perception stacks.
- Adapt software to new APIs
- Architect test automation infrastructure
- Build training evaluation pipelines
- Collect robotic demonstrations
- Convert demonstrations for model training
- Deploy novel algorithms in simulation
- Deploy novel algorithms on physical hardware
- Document technical research deliverables
- Fine-tune machine learning models
- Integrate robotic control stacks
- Integrate robotic perception stacks
- Integrate simulation environments
- Launch model fine tuning workflows
- Maintain robotic AI software
- Perform unit testing
- Prepare robotic datasets
- Run model evaluation workflows
- Transform training datasets
- Troubleshoot production system issues
Perks/Benefits:
- 401k retirement plan
- Flexible spending account
- Medical, dental & vision coverage
- Paid time off
- Parental leave
- Professional growth and development opportunities