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