Robotics Learning Engineer: From Research to Real-World Deployment

Dexmate; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Dexmate in Singapore is seeking a Robotics Engineer to develop and deploy end-to-end learned models for robot manipulation and control. You will shape foundational systems that integrate multimodal data processing and policy deployment to physical robots.

This role requires a Master's or PhD in Robotics, ML, or CS, along with practical experience in training ML models, particularly in PyTorch. The position offers an opportunity to contribute to groundbreaking work in physical AI and robotics.

Qualifications

• Master's or PhD in Robotics, ML, CS, or related field.
• Hands-on experience training and deploying ML models, ideally in PyTorch.
• Background in robot learning, imitation/reinforcement learning, or learning-augmented control.

Responsibilities

• Design, train, and evaluate learned policies for manipulation and control.
• Deploy and validate models on physical robots, tuning for performance.
• Build infrastructure for model training: job scheduling, checkpointing, logging.

Skills

Training and deploying ML models in PyTorch

Imitation and reinforcement learning

Robot learning

Education

Master's or PhD in Robotics, ML, CS, or related field

Tools

PyTorch

Protobuf

Job description

Dexmate in Singapore is seeking a Robotics Engineer to develop and deploy end-to-end learned models for robot manipulation and control. You will shape foundational systems that integrate multimodal data processing and policy deployment to physical robots.

This role requires a Master's or PhD in Robotics, ML, or CS, along with practical experience in training ML models, particularly in PyTorch. The position offers an opportunity to contribute to groundbreaking work in physical AI and robotics.