Applied Scientist - Multimodal Foundation Models & Robotics

Microsoft logo

Microsoft

full-time

Posted: October 1, 2025

Number of Vacancies: 1

Job Description

The Spatial AI Lab is part of the Applied Sciences Group, a Microsoft research and development organization dedicated to creating next-generation human-computer interaction technologies leveraging the most recent AI developments and exploring new hardware capabilities and device form-factors. Our team of scientists and engineers has strong expertise in computer vision and multi-modal AI, with a particular focus on spatial and embodied AI. As part of our growing team, you will conduct research at the intersection of large-scale generative modeling and embodied AI, with a focus on robotics. Your primary focus will be on building the core intelligence for a new generation of agents, training the multimodal foundation models that empower them to perceive complex environments, reason about tasks, and act seamlessly across both the physical and digital worlds. This opportunity will allow you to deepen your expertise in training embodied foundation models, deploying algorithms on robotic hardware and large-scale AI systems, and contribute to our pioneering research through publications and collaborations with partners like ETH Zurich. 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.

Locations

  • Zürich, Zürich, Switzerland, Zürich, Zürich, Switzerland

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Required Qualifications

  • Doctorate (degree)

Travel Requirements

Fully on-site

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