Member of Technical Staff, Ai Pre Training

vor 16 Stunden

Zürich, Schweiz Microsoft Vollzeit

**Member of Technical Staff, AI Pre Training**:
Zürich, Switzerland

Date posted

**Apr 10, 2025**
- Job number

**1818759**
- Work site

**Microsoft on-site only**
- Travel

**0-25**%**
- Role type

**Individual Contributor**
- Profession

**Software Engineering**
- Discipline

**Software Engineering**
- Employment type

**Full-Time**

**Overview**:
**Help deliver one of the best foundational models in the world at Microsoft AI**.**

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making
- Have experience and/or in-depth understandings about large-scale distributed systems
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment

**Responsibilities**:

- Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations
- Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack
- Collaborate closely with teams on infrastructure, data, post-training, and multimodality
- Embody our culture and values.
- Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
- 

Industry leading healthcare
- 

Educational resources
- 

Discounts on products and services
- 

Savings and investments
- 

Maternity and paternity leave
- 

Generous time away
- 

Giving programs
- 

Opportunities to network and connect

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