AI & Machine Learning Engineer

📋 Description Design, build, and deploy ML systems for robotic control Develop ML models for computer vision, predictive analytics, and autonomous decisions Create real-time ML deployment in production environments Improve process optimization and quality through ML Collaborate with robotics engineers to integrate ML with ROS2 Optimize edge inference on GPU-accelerated hardware 🎯 Requirements 4+ years hands-on ML engineering delivering production models Proficiency with PyTorch or TensorFlow Computer vision experience: object detection, segmentation, depth or 3D vision Understanding of reinforcement/imitation learning for robotics Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization) Strong Python, plus C++ for performance; Linux, Docker, Git, CI/CD 🎁 Benefits Hands-on culture with direct access to robots, sensors, and manufacturing Real-world ML challenges: real-time inference and embodied AI Access to proprietary robotics datasets from production cells Competitive compensation including salary and equity Comprehensive benefits package Flexible work practices and strong team collaboration