Member Of Technical Staff Ai Pretraining

Zürich, ZH, CH, Switzerland

Job Description

Member of Technical Staff - AI Pretraining


===============================================


Zurich, Switzerland



Date posted

Jul 24, 2025


Job number

1851280


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.



We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

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

Qualifications



Minimum Qualifications:

+ Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
+ OR equivalent experience.
+ Experience working with specific frameworks or libraries for model pre-training, such as TensorFlow, PyTorch, or Hugging Face Transformers.

Preferred Qualifications:



+ Demonstrated experience in large-scale AI.
+ Passionate about conversational AI and its deployment.
+ Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.

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
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Job Detail

  • Job Id
    JD1694851
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Zürich, ZH, CH, Switzerland
  • Education
    Not mentioned