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Member of Technical Staff, AI - Post-Training

Microsoft

Microsoft

Software Engineering, IT, Data Science
Posted on Dec 13, 2024

Member of Technical Staff, AI - Post-Training

London, United Kingdom

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Date posted
Nov 15, 2024
Job number
1786594
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 us develop and train the cutting-edge models that are served in Copilot.

At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.

The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products.

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

  • Are passionate about shipping models into products that users will love
  • Will thrive in a highly collaborative, fast-paced environment
  • Have a high degree of craftsmanship and pay close attention to details
  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
  • Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities

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.

Responsibilities

  • Develop data collection, evaluation, and finetuning methods for models.
  • Design hypotheses and experiment plans for rapidly iterating on model performance.
  • Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.
  • Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.
  • 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.