Description
Gritt is hiring a Robot Learning Engineer Intern in the San Francisco Bay Area for an in-person 3- or 6-month internship. The intern will train imitation-learning, reinforcement-learning, or fine-tuned foundation-model policies for real robot tasks, build data collection and evaluation pipelines, deploy policies on hardware, and test them on real robots. The role involves pose estimation, vision-language models, vision-language-action models, 3D scene reconstruction, object detection, and multimodal learning, with opportunities to publish and attend industry conferences. Candidates should be pursuing an MS or PhD in machine learning, robotics, computer science, or a related field, have strong PyTorch and deep-learning knowledge, and demonstrate applied work.
