Member of Technical Staff, Microsoft Robotics (Robot Learning) | Microsoft Careers

What you'll do

• Develop and train end-to-end robot learning models including VLA, imitation, and reinforcement learning.
• Build and optimize data pipelines for teleoperation demonstrations and model training.
• Train machine learning models on GPU clusters using distributed training techniques.
• Deploy trained models to physical robots and debug sim-to-real transfer issues.
• Implement evaluation frameworks for standardized task benchmarks and generalization testing.
• Stay current with state-of-the-art research in robot learning and foundation models.
• Write production-quality Python code adhering to coding standards and best practices.

What we're looking for

• Experience in end-to-end robot learning, including imitation learning, reinforcement learning, and vision-language-action model training.
• Proficiency in Python with deep experience in PyTorch, JAX, or TensorFlow for machine learning.
• Hands-on experience deploying learned policies on physical robots and debugging sim-to-real transfer issues.
• Familiarity with robotics middleware (ROS/ROS2) and robot control interfaces for perception-action loops.
• Track record of following state-of-the-art research in robot learning, foundation models, and physical AI.
• Experience with distributed training on GPU clusters using Azure Machine Learning or Kubernetes.