At Sharpa, we manufacture time by making robots useful.
Founded in 2024, Sharpa is an AI robotics company inspired by the Sherpa people of the Himalayas - known for guiding and assisting alpinists on their difficult journey to the summit. We build general purpose robots that assist, not replace, humans - freeing people from repetitive and strenuous work so they can pursue inspiring endeavors.
Our team is made up of geeks and innovators with backgrounds at leading AI and robotics companies. We are dedicated to developing ultra-high performance, autonomous robotic systems capable of adapting to the complexity of real world environments. Sharpa operates out of Singapore, Shanghai and Mountain View.
What you'll be doing:
- Optimize tactile simulation models and utilize reinforcement learning methods to accomplish contact-rich dexterous manipulation tasks.
- Establish efficient data collection and training pipelines, explore effective tactile representations, and employ imitation learning methods to achieve contact-rich dexterous manipulation.
- Combine RL and IL to explore the use of tactile information in the field of robot-learning, explore methods to leverage tactile data for enhancing manipulation capabilities.
What we're looking for:
- Ph.D. or higher in Computer Science, Robotics, Electronics, Mechanical Engineering, or related fields. Work experience is not mandatory but requires research project experience in robotics-related areas.
- Solid foundation in Machine Learning, with in-depth understanding and hands-on experience in common models and training methods.
- Preference will be given to candidates with project experience in reinforcement learning or imitation learning within the robot-learning domain.
