Applied AI Scientist — Microsoft
- Location
- Zürich
- Contract
- full-time
- Posted
- 2 days ago
Role overview
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 of scientists and engineers has strong expertise in computer vision, multi-modal AI,spatial and embodied AI.
Your main job will be to help create smart systems for new types of agents by training and improving multimodal AI models. This role will help you gain more experience in building and using AI models for Microsoft products and large-scale AI systems. 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.
- Research novel machine learning algorithms and models .
- Work on pre and /or post training of f oundational multimodal models.
- Build data and learning solutions for scalability, efficiency, and performance.
- Curat e training and evaluation datasets/benchmark .
- Optimize models for CPUs, GPUs and NPUs and integrate into product s.
- Collaborate across Microsoft research and engineering teams .
- A PhD in Machine Learning / Computer Vision or
3+ years of relevant industry experience.
- Research novel machine learning algorithms and models .
- Work on pre and /or post training of f oundational multimodal models.
- Required
- 3+ years of relevant industry experience. E ngineering skills in programming languages such as Python and/ or C++.
Main responsibilities
- Research novel machine learning algorithms and models .
- Work on pre and /or post training of f oundational multimodal models.
- Build data and learning solutions for scalability, efficiency, and performance.
- Curat e training and evaluation datasets/benchmark .
- Optimize models for CPUs, GPUs and NPUs and integrate into product s.
- Collaborate across Microsoft research and engineering teams .
Key requirements
- Required
- 3+ years of relevant industry experience. E ngineering skills in programming languages such as Python and/ or C++.
- Hands-on experience with modern deep learning frameworks (e.g.
- Pytorch / Tensorflow /Jax).
- Self-motivated team-player , problem solver, and keen to learn.
- Ability to present complex technical concepts to a diverse audience. Preferred Qualifications:
- Experience in one or more of the following areas:
- Multimodal Models hands-on experience in any of the following topics:
- Pre and /or post training of large vision language models;
- Experience in techniques such as pruning, distillation and finetuning. LLMs; Large vision-language models (VLMs);
- Video generative models and diffusion algorithms; or
- action-based transformers and Vision Language Action models (VLAs).
Application process
- 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.
Company and context
- 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, multi-modal AI,spatial and embodied AI.
- Your main job will be to help create smart systems for new types of agents by training and improving multimodal AI models.
- This role will help you gain more experience in building and using AI models for Microsoft products and large-scale AI systems.
- 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.
Additional details
- A PhD in Machine Learning / Computer Vision or
- 3+ years of relevant industry experience. E ngineering skills in programming languages such as Python and/ or C++.
- Ability to present complex technical concepts to a diverse audience.
- Experience in techniques such as pruning, distillation and finetuning. Large vision-language models (VLMs);
- Publications Track record of impact, either via research publications at top-tier machine learning or computer vision conferences ( NeurIPS , ICML, CVPR, ECCV, ICCV ) , or via contributions to successful industry initiatives. Applied Sciences IC4
Notes and original content
- Responsibilities
- Qualifications
- 3+ years of relevant industry experience.
- E ngineering skills in programming languages such as Python and/ or C++.
- Experience in techniques such as pruning, distillation and finetuning.
- Large vision-language models (VLMs);
- Publications Track record of impact, either via research publications at top-tier machine learning or computer vision conferences ( NeurIPS , ICML, CVPR, ECCV, ICCV ) , or via contributions to successful industry initiatives.
- Applied Sciences IC4
Questions about this listing
What salary does Microsoft offer for this role?
Microsoft lists CHF 73'500 - 111'500 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Microsoft offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Microsoft during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Microsoft?
Use the "Apply now" button on this page — it links directly to Microsoft's original listing at apply.careers.microsoft.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.