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Senior Applied Scientist

Microsoft

$119,800 - $234,700
Dec 23, 2025
Redmond, WA, US
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Microsoft AI aims to advance Bing and Consumer Copilot by providing the best generative search experience through advanced AI/ML technologies and innovative AI features.

Requirements

  • Hands-on experience working with LLMs, or SLMs such as Qwen, Llama or its variants.
  • Expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas.
  • Proficient in programming languages such as Python, C-Sharp, R, C++, Java, and SQL.
  • Experience with large-scale modeling optimization.
  • Experience with experimental prompt tuning.
  • Experience with data mining techniques: e.g. regression, classification, NLP, optimization.
  • Experience with feature engineering and statistical techniques.

Responsibilities

  • Building and owning production machine learning models to improve results.
  • Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT 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.
  • Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
  • 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-Sharp, R, C++, Java, and SQL.
  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Other

  • Bachelor'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 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.
  • Proficient oral and writing skills.