Principal Applied Scientist

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Applied Sciences

This role focuses on building the data foundation for Bing and Microsoft AI, involving large-scale grounding and LLM training. The Principal Applied Scientist will translate research into production, developing and deploying algorithms and solutions to improve system performance, quality, data management, and accuracy. The role emphasizes developing deep expertise, partnering with stakeholders, mentoring junior talent, and collaborating across teams to shape the future of AI.

What you'd actually do

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

Skills

Required

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
  • 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 5+ years related experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • 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 in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 5+ years experience conducting research as part of a research program (in academic or industry settings)
  • 3+ years experience developing and deploying live production systems, as part of a product team
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
  • 8+ years of experience in product development in machine learning and related areas
  • Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch
  • Active research in at least one of the following areas: 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 through design and development
  • Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges
  • Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems
  • Experience with Search or re

What the JD emphasized

  • 8+ years related experience
  • 6+ years related experience
  • 5+ 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 from ideation to shipping.
  • 8+ years of experience in product development in machine learning

Other signals

  • large-scale grounding
  • LLM training
  • web content at internet scale
  • translate research into production
  • advancing the state of the art