Microsoft Applied Scientist 

United States, Washington 

107633004

Require/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

  • OR equivalent experience.

• 2+ years of enterprise experience in any combination of following technologies: machine learning, deep learning, NLP, information retrieval, LLM/SLM"

Additional/Preferred Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 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.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• 2+ years of academic or industry experience in areas of machine learning, data science with preference for Natural Language Processing
  2+ years of experience in C#, C++, Java or Python.
• Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, data mining, information retrieval.

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 26,2024.

• Contribute to the design and development of specialized ML, Gen AI, NLP models and LLM-based solutions that are optimized for both batch and streaming data processes.
• Experiment with different solution alternatives for the models' quality improvement (from data collection, preprocessing, to running tests).
• Work on fine-tuning, and prompt engineering, using NLP and other AI techniques.
• Collaboration with data science and tech divisions throughout the model's design phase and its subsequent deployment.
• Develop comprehensive evaluation systems and tools designed to validate model performance, ensuring precision, uniformity, and dependability.
• Document the modeling methodologies and protocols to serve as a repository for future reference and collective intellectual capital.
  

• Embody our