Tasks:
- * Build generalizable robotic skills across tasks and scenarios
- * Collaborate on embodied AI datasets and robotics platform deployment
- * Develop embodied AI algorithms for skill learning, motion planning, and robotic manipulation
- * Reproduce and advance emerging research; contribute to papers and patents
- * Train and deploy imitation learning, reinforcement learning, transfer learning, and multimodal learning algorithms
Perks/Benefits:
Skills/Tech stack required:
[ACT] [Action models] [C++] [Diffusion Policy] [Git] [Grasping] [GROOT] [Imitation Learning] [Knowledge Distillation] [Language Models] [Motion Planning] [Multimodal Learning] [Pi0] [Python] [PyTorch] [RDT] [Reinforcement Learning] [Robotics] [Robot Manipulation] [Self-supervised] [Self-Supervised Learning] [Supervised Learning] [TensorFlow] [Transfer Learning] [Vision-language] [Vision-language-action] [Vision-Language-Action Models] [Vision Language Models]
Educational requirements:
[Master's Degree]
Role(s):
[AI Algorithm Engineer] [Algorithm Engineer] [Embodied AI Algorithm Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Robotics Algorithm Engineer]