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Microsoft Applied Machine Learning Research Engineer 
United States, Washington 
360799073

04.02.2025

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Qualifications

Required Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • ORequivalent experience.
  • Skilled in problem solving and programming (Python, C#); skilled with using big data tools and scripting languages (SQL, PySpark, KQL)
  • 1+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems
  • Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data.
  • Proficient understanding ofLarge Language Models (LLMs)Agents, Prompt Engineering, Data Mining, and equivalent work experience

Preferred Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience with deep learning/LLMs applied to areas such as graph learning, IR, NLP, computer vision, etc., is preferred.
  • Solid cross-group and interpersonal skills, with the ability to articulate solutions.
  • Experience in government regulations, business compliance, business processes in enterprises, legal discovery, etc.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    • Experience in government regulations, business compliance, business processes in enterprises, legal discovery, etc.
Responsibilities
  • Design, develop, and run advanced AI/ML systems.
  • Facilitate deployment of advanced AI solutions by designing and implementing infrastructure components
  • Create and implement machine learning models and algorithms to solve business problems.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Collect, synthetize, clean, and organize large datasets from multiple sources, perform large scale analysis and interpret complex data to identify patterns, trends, and insights that can inform business decisions.
  • Develop, refine, and optimize AI-generated text prompts for accuracy, engagement, and relevance across various applications.
  • Design end-to-end ML experiments and tests on large, structured and unstructured data sets.
  • Stay up to date with the latest trends and techniques in data science, machine learning, prompt engineering and automation.
  • Embody our