Research Associate/ Assistant/ Robotics Engineer in Vision-Language-Action (VLA) Data and Training – Embodied AI
CNRS@CREATE LTD.
Singapore, Singapore
Base: sgd 5,000 to 7,000 pm; bonus/equity: not spe...
Not specified
Hands-on experience with vla models
Python and pytorch proficiency
Ros 2 and physical robotic manipulation
CNRS@CREATE LTD. is seeking a Research Associate/Assistant/Robotics Engineer specializing in Vision-Language-Action (VLA) Data and Training for their robotics team in Singapore. The role involves the design and execution of robotic data-collection systems, as well as the training and evaluation of advanced VLA models
Job Summary
The role focuses on developing foundation models for general-purpose robotic manipulation at the intersection of data collection and model training.
Candidates will be responsible for designing teleoperation-based data campaigns and fine-tuning state-of-the-art Vision-Language-Action architectures.
This position offers a 1-year renewable contract with a gross monthly salary range of SGD 5,000 to 7,000.
Matching Summary
Match Score: 85
CNRS@CREATE LTD. is seeking a Research Associate/Assistant/Robotics Engineer specializing in Vision-Language-Action (VLA) Data and Training for their robotics team in Singapore. The role involves the design and execution of robotic data-collection systems, as well as the training and evaluation of advanced VLA models.
Salary
Base: SGD 5,000 to 7,000 per month; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Hands-on experience with VLA models
Python and PyTorch proficiency
ROS 2 and physical robotic manipulation
Teleoperation data collection design
Hugging Face Transformers library usage
Nice-to-have
Peer-reviewed publications in robot learning
Experience with edge deployment optimization
Self-supervised learning on large datasets
Leadership in multi-site data collection
Computer vision pipeline contributions
Key Requirements
Bachelor's or Master's degree in CS, Engineering, or related field
Demonstrable hands-on experience training VLA models
Working knowledge of ROS 2 and robotic manipulators