Microsoft Principal Applied Scientist 

United States, California, Mountain View 

782315354

Required Qualifications:

• Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
  • OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • OR Bachelor's DegreeinComputer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
  • OR equivalent experience.

• 8+ years related experience in Natural Language Processing or Machine Learning technologies

Additional or Preferred Qualifications

• Doctorate (PhD) in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
• Practical experience with Large Language Models (LLMs) is highly preferred.
• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers) in Machine learning conferences (e.g. ICML-International Conference of ML, NeurIPS-Neural Information and Processing Systems, ICLR-International Conference on Learning Representations)

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 December 2, 2024.

• Building and owning production machine learning models to improve results
• Working hands on with state of art generative models like GPT, Llama, Mistral, and others, to deliver big impact
• Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
• Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL
• Taking complex problems and the associated data and giving the answers in a concise form to assist executives in making key business decisions

• Embody our