Tasks:
- * Build general-purpose robot skills
- * Collaborate with foundation model and robot control teams
- * Contribute to research papers and patents
- * Design, train, and deploy imitation learning algorithms
- * Design, train, and deploy multimodal learning algorithms
- * Design, train, and deploy reinforcement learning algorithms
- * Design, train, and deploy transfer learning algorithms
- * Develop embodied AI models for robot skill learning, motion planning, and grasping
- * Implement embodied AI datasets and robot platform projects
- * Improve generalization across tasks and environments
- * Reproduce and extend state of the art research
Perks/Benefits:
Skills/Tech stack required:
[ACT] [Action models] [AgiBot GO1] [C++] [Chain-of-Thought] [Chain of thought reasoning] [Diffusion Policy] [Git] [Grasping] [GROOT] [Helix] [Imitation Learning] [Knowledge Distillation] [Language Models] [Motion Planning] [Multimodal Learning] [Python] [PyTorch] [RDT] [Reinforcement Learning] [Robot Manipulation] [Robot skill learning] [Self-supervised] [Self-Supervised Learning] [Skill 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]