Principal Scientist Robot Learning
vor 4 Wochen
The **Microsoft Spatial AI Lab in Zurich**, Switzerland, is a research and development team building the future of spatial computing. We are looking for a Principal Research Scientist with a strong background in machine learning for robotics. We are based near ETH Zurich, the top technical school in continental Europe, enabling close collaboration in multiple areas.
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.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**: Collaborate cross-functionally to shape the broader Microsoft robotics and virtual agents' strategy and Spatial AI Lab role in realizing it.
- Mentor and guide team members, fostering a collaborative and innovative work environment.
**Qualifications**:
**Required Qualification(s)**:
Ph.D. or equivalent professional experience in Computer Science, Robotics, Electrical Engineering, or a related field.
Demonstrated leadership in defining, shaping and executing technical strategy in cross-functional environments.Extensive professional experience in robotic learning.Proven track record of developing and deploying robotic systems in real-world environments, including programming skills in Python, C++, and experience with frameworks like TensorFlow or PyTorch and ROS.Experience with simulation tools and environments for robotics.
- Natural problem-solver, team player and good communicator.
**Preferred Qualifications**:
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.Previous experience in developing intelligent agents or virtual assistants.
- Publication record at top-tier conferences and journals (e.g., CoRL, NeurIPS, ICLR, RSS, ICRA/IROS)
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