Senior Applied Scientist

Microsoft Microsoft · Big Tech · Mountain View, CA +2 · Applied Sciences

Senior Applied Scientist role focused on building and optimizing generative AI models, particularly LLMs and agentic systems, for Microsoft's consumer products like Bing and Copilot. The role involves hands-on work with SOTA models, prompt engineering, large-scale data analysis, and experimental design to improve search experiences and deliver impactful AI features.

What you'd actually do

  1. Building and owning production machine learning models to improve results.
  2. Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
  3. 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.
  4. Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
  5. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.

Skills

Required

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • equivalent experience

Nice to have

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • equivalent experience
  • Proficient oral and writing skills

What the JD emphasized

  • expertise in Machine Learning, Generative AI, Agentic Modeling
  • hands-on experience on working with LLMs
  • production machine learning models
  • prompt engineering

Other signals

  • Generative AI
  • Agentic Modeling
  • LLMs
  • production machine learning models
  • prompt engineering