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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Principal Applied Scientist

United States, Redmond Employment contract 165600.00 - 296400.00 USD / Year · Job Posted June 10, 2026
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Job Description

The Microsoft AI Web Data team is looking for a highly qualified Principal Applied Scientist to help build the next-generation platform for Bing and Microsoft AI. The Microsoft AI Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences, including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover, fetch, process, understanding and store web content at internet scale. We advance the platform's capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI. This is a great opportunity for someone who enjoys tackling deep technical challenges and driving industry-wide impact. In this role, you will translate research into production by advancing the state of the art and applying it to meet today's AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy. Join us to shape the future of AI and deliver meaningful value to millions of users.

Job Responsibility

  • Develop deep expertise across a broad research area and relevant techniques
  • stay current on industry trends and advances
  • apply insights to shape product and platform direction
  • Partner with stakeholders to understand business and product requirements
  • incorporate research insights
  • provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact
  • Mentor and inspire peers and new research talent
  • build relationships and advocate for research initiatives
  • share results through industry outreach
  • collaborate with academia
  • strengthen the recruiting pipeline
  • Document experiments and outcomes
  • communicate learnings to accelerate innovation
  • help define best practices, including ethics and privacy considerations for research processes and data collection
  • Guide and mentor junior team members in developing new technologies that translate into production-ready solutions
  • Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them

Requirements

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check

Nice to have

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience
  • Doctorate AND 8+ years related experience
  • 5+ years experience creating publications
  • 2+ years experience presenting at conferences
  • 5+ years experience conducting research
  • 3+ years experience developing and deploying live production systems
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle
  • 8+ years of experience in product development in machine learning
  • Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch
  • Active research in LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing
  • Demonstrated excellence in communication and cross-team collaboration
  • Ability to think big while delivering measurable real-world impact
  • Solid understanding of web documents and web data processing
  • Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems
  • Experience with Search or recommendations
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