Scale physical intelligence beyond the simulation!
Join a fast growing company with a chance to make an impact.
about the company
Our client is an innovative technology company operating within the artificial intelligence and robotics industry. They focus on building advanced engineering solutions and platforms for next-generation systems.
about the role
You will be responsible for developing and deploying advanced machine learning models and infrastructure. The position involves working across the full technical pipeline, from processing large-scale data and training models on GPU clusters to deploying systems in real-world environments. You will also build essential tooling for experiment analysis and collaborate closely with cross-functional technical teams to translate research into reliable applications.
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skills and experience
- MSc/PhD in Robotics, AI, or Computer Science with strong research or industry experience (1-2 years)
- Deep fluency in PyTorch, neural control, policy learning, and agent-based training paradigms.
- Proven track record deploying simulation-trained algorithms onto functional robotic hardware.
- Strong background in reinforcement learning, imitation learning, and VLA-style architectures.
- Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin
- Bonus: Multimodal foundation models (vision/language/kinematics) or top-tier publications (ICRA, IROS, NeurIPS, CVPR)
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)
