Microsoft Principal Scientist Robot Learning - Spatial AI Lab 

Switzerland, Zurich, Zurich 

710407037

You will lead the robot learning initiatives within Spatial AI Lab. Additionally, you will contribute to the broader strategy for embodied AI and automated decision making across Microsoft products that can perform tasks on the user's behalf. This is a unique opportunity for a passionate and experienced researcher to shape a new strategic initiative.

Required Qualification(s):

• Ph.D. or equivalent professional experience in Computer Science, Robotics, Electrical Engineering, or a related field.
• Demonstrated leadership in defining,shapingand executing technical strategy in cross-functional environments.
• Extensive professional experience in robotic learning.
• Proventrack recordof developing and deploying robotic systems in real-world environments, including programming skills in Python, C++, and experience with frameworks like TensorFlow orPyTorchand ROS.
• Experience with simulation tools and environments for robotics.
• Natural problem-solver, team player and good communicator.

Preferred Qualifications:

• in deep learning for robotics, such as in imitation or reinforcement learning and their applications to robotics.
• Familiarity with vision-language models and foundation models for robotics.
• Knowledge of computer vision and sensor fusion techniques.
• Familiarity with cloud computing platforms and services.
• Previousexperience in developing intelligent agents or virtual assistants.
• Publication record at top-tier conferences and journals (e.g.,CoRL,NeurIPS, ICLR, RSS, ICRA/IROS)

• Collaborate cross-functionally to shape the broader Microsoft robotics and virtual agents' strategy and Spatial AI Lab role in realizing it.
• Stay abreast of the latest developments in the industry and the latest research in deep learning, robotics, and embodied AI.
• Lead the research and development of learning algorithms for robotics agents.
• Develop andmaintainsoftware for robotic applications.
• Define and execute the strategy for training and evaluating robotics agents.
• Mentor and guide team members, fostering a collaborative and innovative work environment.