Principal Applied Scientist

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

This role focuses on fine-tuning large language models (LLMs) for enterprise use cases within M365 Copilot, involving post-training, platform design, and shipping solutions. It requires strong research skills to advance model development and generalize learnings from customer data.

What you'd actually do

  1. Design and build platforms and pipelines to enable large language models post-training.
  2. Design experiments to show the effectiveness of LLM-based solutions and design platforms to deliver effectiveness.
  3. Work with customers to learn their needs and deliver required solutions in the platform
  4. Design and implement inference solutions that incorporate post-trained models following product specifications and work with broader team to ship these solutions to customers.
  5. Document experiments and communicate results across the team.

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
  • equivalent experience

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
  • equivalent experience
  • 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 7+ years experience conducting research as an academic or industry researcher
  • 5+ years experience developing and deploying live production systems, as part of a product team
  • 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping

What the JD emphasized

  • shipping high-quality models
  • shipping these solutions to customers

Other signals

  • fine-tune large language models (LLMs) on tenant data
  • task-specific agents and solutions
  • advancing the state of the art of models in M365 Copilot
  • shipping high-quality models
  • generalize the learnings for the broader product