Principal AI/ML Engineer (Robotics)
Tasks
- Build real world and simulation datasets for benchmarking and validation
- Collaborate with embedded hardware and systems engineers to move research to production
- Contribute to AI platform architecture CI CD pipelines and MLOps
- Define technical roadmaps for robotics AI and Edge AI adoption
- Develop task policies using hierarchical planning reinforcement learning hybrid methods
- Guide sensor selection and system integration
- Lead design and deployment of robot expert and generalist policies
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Containerization | Decision Making | Decision making under uncertainty | Docker | Dynamics | Foundation Models | Gazebo | Hierarchical Planning | IMU | Isaac Sim | Kinematics | Kubernetes | Lidar | MLOps | Motion Planning | Mujoco | Multi-sensor Fusion | OpenAI Gym | PyTorch | Python | ROS | Reinforcement Learning | Robot Control | Robot foundation models | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Task and motion planning | TensorFlow | Unreal Engine
Education
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