Machine Learning Engineer
OpenMind, San Francisco
What you will do
- Design and deploy computer vision and ML solutions for robotic inspection, monitoring, anomaly detection, measurement, and scene understanding.
- Develop perception pipelines using object detection, classification, segmentation, tracking, video understanding, and multimodal models.
- Integrate diverse sensors, including RGB, PTZ, depth and thermal cameras, and LiDAR, with calibration and sensor fusion as needed.
- Own projects end-to-end, from system design and model development to optimization, evaluation, deployment, and field debugging.
- Build scalable, reusable perception systems and collaborate with robotics engineers and customers to solve evolving real-world challenges.
What you need
- Strong foundations in modern computer vision, machine learning, and deep learning, including detection, classification, and semantic segmentation.
- Strong engineering fundamentals in languages such as Python, Go, and/or C++, and fluency in PyTorch or JAX.