Physical AI Engineer, Autonomous Vehicles

ISEE AI is hiring Physical AI Engineers to work on autonomous vehicle systems. The role involves designing and deploying ML models for computer vision, motion planning, and behavior prediction in industrial environments. Engineers work across the full ML lifecycle from simulation to real-world deployment.

• Design, train, and evaluate machine learning models for use in our autonomous driving stack and simulation environment
• Contribute to computer vision systems for scene understanding, object detection, and 3D reconstruction
• Develop reinforcement learning and imitation learning models for vehicle behavior and motion planning
• Build and improve models for predicting the behavior of human-operated vehicles and pedestrians in industrial environments
• Build and operate real-world data pipelines, annotation workflows, and evaluation frameworks
• Optimize and deploy models for inference on embedded hardware using tools like ONNX and TensorRT
• Participate in our weekly ML journal club and contribute to a culture of rigorous, curiosity-driven engineering

• Degree in Computer Science, Machine Learning, Robotics, or a closely related field (Master's minimum, PhD preferred)
• Strong theoretical grounding in machine learning
• Hands-on experience with PyTorch and the modern ML toolchain