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Verified from career page · Posted 2w ago

Microsoft

Applied Scientist

Microsoft · Applied Sciences

Zurich

Mid-level

Machine learningComputer visionHTML

Last seen just now

Posted
2w ago

Posted on 18 August 2026

Workplace
On-site

Work model: On-site

Salary
119k CHF – 196k CHF

Range published by Microsoft

Visa sponsorship
Not specified

Visa sponsorship details unknown

Overview

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 has expertise in computer vision, multi-modal AI, spatial and embodied AI.  

As Applied AI Scientist you will work closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by computer vision and multimodal AI models. You may work on collecting data, evaluating and training models, and writing production quality code. You will also have the opportunity to join cutting edge research working with partners like ETH Zurich to publish in top-tier venues, present at workshops, and mentor students. 

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

Implement machine learning algorithms and run experiments

Build scalable machine learning solutions and benchmarks

Curate training and evaluation datasets

Optimize models for Neural Processing Units (NPUs)

Qualifications

Required/minimum qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

OR equivalent experience

Preferred Qualifications: 

Ability to discuss and present complex technical concepts to diverse audiences.

Hands-on experience in training and fine-tuning deep neural networks.

Experience quantizing models for NPUs and GPUs. Familiarity with ONNX format.

Background in building agent-based systems.

Applied Sciences IC3 - The typical base pay range for this role across Switzerland is CHF 119,200.00 - CHF 195,500.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Microsoft

Microsoft's European presence is broad and stable rather than concentrated — Dublin, London, Milan, Paris, Prague, Munich. Less fashionable than the other FAANG names, and the tradeoff is usually predictability over intensity.

Apply at Microsoft ↗

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