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Microsoft Principal Applied Scientist 
United States, Washington 
922402997

13.08.2024

The team is looking for a passionate, creative, and analytical individual contributor with a background in large language modeling. You will work on adapting and grounding large language models for product-driven scenarios. The focus will be on developing deep learning techniques to enhance the custom copilot experience through efficient adaptation of large-scale language models. The work will span multiple stages of adaptation, including supervised fine-tuning and post-training with Reinforcement Learning from Human Feedback (RLHF).

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Other Requirements:

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Rich experience in large language modeling and related areas.
  • Publication in top-tier conferences on large language models is a big plus.
  • Proficiency in programming languages such as Python, and familiarity with machine learning frameworks including PyTorch and Triton.
  • Experience with data processing and handling large datasets.
  • Ability to work collaboratively in a team and communicate complex concepts effectively.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 5, 2024.

Responsibilities
  • Development for OpenAI models customization and large scale training
  • Data preparation, training and evaluation of customization tasks
  • Collaboration with product groups in Microsoft
  • Research and Innovation; staying updated with the latest research and developments in deep learning and NLP.

Other:

  • Embody our and