We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

For our Autonomous Factory team, we are looking for an Applied Physical AI Intern pioneering next generation of embodied AI, applying and integrating multimodal foundation models and robot learning architectures into real-world industrial applications.

You’ll make an impact by

• Collect teleoperation dataset for physical AI model training purpose
• Train, deploy and evaluate SOTA physical AI models in the lab environment
• Analyze and brainstorm the potential improvement points for current physical AI models and pipelines to fill up the gap between the lab scenario and real industrial use case
• Tackle challenges with first principle thinking, creative and innovative ideas, and quick hands-on execution

Required qualification

• Can work above 4~5 days a week and at least 3 months.
• Bachelor/Master students in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related discipline
• Basic knowledge and understanding about modern neural networks e.g. Transformer, LLM, VLM, CNN and diffusion based Gen AI, etc.
• Good programming skills in python, pytorch/tensorflow
• Good scientific thinking, systematic thinking, and first-principle thinking; open to creative attempts and changes to improve the SOTA performance
• Good English communication skill, both written and spoken Preferred qualification
• Hands-on experience in robotic data collection (teleoperation), curation, dataset management, model fine-tuning and inferencing for VLA or WAM will be a plus
• Familiarity with vibe coding will be a plus

You’ll benefit from

Diverse and inclusive culture, doing the work you like with people who appreciate it

Chance to embrace the SOTA physical AI technology and have hands-on experience

Create a better #TomorrowWithUs!