Microsoft
AI

Senior Applied Scientist- Microsoft Excel team

Microsoft · Redmond, WA, US · $119k - $258k

Actively hiring Posted 6 months ago

Role overview

Do you want to be part of a team which delivers innovative AI features across flagship products? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, the Microsoft Excel team has great opportunities for you.

We are seeking a Senior Applied Scientist with a proven track record of shipping at-scale intelligent systems. You will architect, design and ship intelligent systems assisting users writing code for Microsoft Excel using state-of-the-art techniques in large language models, deep learning, program synthesis and information retrieval. You will collaborate with world-class engineers in a fast-paced, dynamic and learning-oriented environment, creating AI applications that solve real-world problems for customers around the world.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

  • Conduct rigorous analysis to evaluate the performance of intelligent applications, identify areas for improvement, and iterate.
  • Executing projects from design through implementation, experimentation and finally shipping to our users.
  • Integrate experiments into production systems by implementing them and maintaining and optimizing their performance.
  • Understand broad areas of research and techniques, as well as a knowledge of industry trends to apply this in the product.
  • Prepare data for analysis by applying quality and technical constraints. Review data and suggest data to be included and excluded and address data quality problems.
  • Assist with the development of usable datasets for modeling purposes and support the scaling of product ideas.
  • Embody our culture and values.
  • 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.
  • 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.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred qualifications

  • 1+ years working with Large Language Models.
  • 1+ years' experience in applying machine learning techniques and driving end-to-end AI product development.
  • Demonstrated ability to work effectively end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
  • Experience with shipping internet scale, low latency and high availability.
  • Experience with Microsoft Excel.
  • Experience with python programming.
  • Experience with Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs).
  • Experience with Prompt optimizations, Data Mining with language models, Agentic systems.

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