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Applied Scientist Intern - PHD

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
India , Multiple Locations

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking Applied Scientists (Multiple Positions) with strong research skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, data pipelines, and shipping high-quality models, willing to delve deep with customer data and generalize the learnings for the broader product.

Job Responsibility:

  • Write and execute training pipelines for large language models post-training
  • Design experiments to show the effectiveness of LLM-based solutions
  • Design and implement inference solutions that incorporate post-trained models following product specifications and work with broader team to ship these solutions to customers
  • Document experiments and communicate results across the team
  • Mentor early in career team members

Requirements:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • Experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small learning model)
  • Experience with Python and/or ML frameworks such as PyTorch
  • Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • Experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation)

Additional Information:

Job Posted:
March 04, 2026

Work Type:
On-site work
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