Robotics ML Research Engineer for Real-World Robots

Huawei; City of Westminster; On-site; GBP 60,000 - 95,000; Full time

Job summary

Huawei is seeking exceptional candidates to pursue research in robot learning (imitation/reinforcement learning), dynamics, and control for real robot systems in the UK. The successful applicant will develop novel contributions for real-robot deployment and world models, collaborating with experts in robotics, ML, and mathematics.

The role emphasizes theoretical advances with real-world applications, and aims to publish in top venues while openly sharing code.

Qualifications

• PhD in Robotics, ML, CS or related field.
• Papers in top-tier conferences/journals (Science Robotics, TRO, ICRA, RSS, NeurIPS, etc.).
• Experience with real robots and robotics systems.
• Strong understanding of robotics and machine learning.
• Strong Python programming skills and experience with PyTorch.

Responsibilities

• Develop high-impact robot-learning research (imitation/reinforcement) for real robot systems.
• Write research-grade code to test novel ideas and approaches.
• Communicate findings through journal and conference publications.
• Contribute to open-source code and share research advances.

Skills

Python

PyTorch

Reinforcement Learning

Imitation Learning

Robotics

Education

PhD in Robotics

PhD in ML/CS (or related)

Tools

PyTorch

C++

Job description

Huawei is seeking exceptional candidates to pursue research in robot learning (imitation/reinforcement learning), dynamics, and control for real robot systems in the UK. The successful applicant will develop novel contributions for real-robot deployment and world models, collaborating with experts in robotics, ML, and mathematics.

The role emphasizes theoretical advances with real-world applications, and aims to publish in top venues while openly sharing code.