AI Engineer
Core
Building perception and learning-based control systems for consumer robotics to enable closed-loop autonomy on real hardware.
Role type
AI Engineer (Robotics Perception & Control)
Builds
Physical robotics platforms transitioning from operator-assisted to autonomous operation
Domain
Robotics / Autonomous Systems / Computer Vision
Deliverable
production ML models
Required skills
Sim-to-real transfer, Reinforcement learning, Learning-from-demonstration, Computer vision, Sensor fusion, Control theory, Robotics hardware integration, Deep learning, Python, C++
Preferred skills
Experience deploying models on embedded hardware, Real-world noise handling
Technologies
Python, C++, ROS, PyTorch, TensorFlow, OpenCV
Responsibilities
Develop sim-to-real transfer pipelines for physical control systems, Build learning-from-demonstration pipelines for task-specific behaviors, Implement reinforcement-learning-based self-optimization for closed-loop correction, Ensure vision/perception pipeline robustness against lighting variability and sensor noise
