Principal AI/ML Engineer (Robotics)
Tasks
- Collaborate with embedded hardware and systems engineers to deliver production solutions
- Contribute to AI platform architecture and MLOps pipelines
- Define technical roadmaps and mentor engineers
- Design task policies using hierarchical planning and reinforcement learning
- Develop real world and simulation datasets for benchmarking and validation
- Guide sensor selection and system integration
- Lead expert and generalist robot policy design and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Decision Making | Decision making under uncertainty | Docker | Gazebo | Hierarchical Planning | Isaac Sim | Kubernetes | MLOps | Machine Learning | Mujoco | Multi Sensor | Multi-sensor Fusion | OpenAI Gym | PyTorch | Python | ROS | Reinforcement Learning | Robot Control | Robot Kinematics | Robot dynamics | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Task planning | TensorFlow | Unreal Engine
Education
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