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.
Responsibilities
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
Requirements
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