Staff AI/ML Engineer (Robotics)
Tasks
- Apply MLOps for model deployment and validation
- Collaborate with embedded hardware and systems engineering
- Define technical roadmaps and mentor engineers
- Design task policies using hierarchical planning or reinforcement learning
- Develop benchmark datasets for real world and simulation
- Develop robotics edge AI and self supervised learning approaches
- Guide sensor selection and system integration
- Implement AI platform architecture and CI CD pipelines
- Lead robot policy design and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Computer Vision | Control Theory | Decision Making | Decision making under uncertainty | Docker | Foundation Models | Gazebo | Hierarchical Planning | IMU | Isaac Sim | Kubernetes | Lidar | MLOps | Mujoco | Multi Sensor | Multi-sensor Fusion | OpenAI Gym | PyTorch | Python | ROS | Reinforcement Learning | Robot Control | Robot Kinematics | Robot dynamics | Robot foundation models | Sensor fusion | Signal Processing | Task planning | TensorFlow | Unreal Engine
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Robotics Engineer
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