Principal Applied Science Manager

Microsoft Microsoft · Big Tech · Hyderabad, TS, IN · Applied Sciences

This role is for a Principal Applied Science Manager at Microsoft Bing's RAI Defensives team. The primary focus is on managing a team to research and ship state-of-the-art Deep Learning (DL) based NLP models for web-scale services, specifically for detecting harmful queries and content to ensure customer safety and a positive user experience. The role involves people management, technical leadership, and delivering reliable, scalable distributed services.

What you'd actually do

  1. The Principal Applied Science Manager role involves building and managing a team of high-caliber software engineers and applied researchers.
  2. The manager will ensure product and development excellence, career development of the team and establishing a strong culture of trust, collaboration & inclusion.
  3. Additionally, this role will require to work closely with various organizations in Microsoft AI, including Copilot and Edge.
  4. A suitable candidate is expected to have experience of delivering reliable & scalable distributed services with a good understanding of data science fundamentals.

Skills

Required

  • people management experience
  • software engineering or applied researcher experience
  • leading high performing teams
  • technical leadership experience
  • developing, debugging, and maintaining code
  • leading a team to train, build and infer large scale DL models
  • organizational, problem solving and prioritization skills

Nice to have

  • creating publications
  • presenting at conferences
  • conducting research
  • developing and deploying live production systems
  • developing and deploying products or systems at multiple points in the product cycle

What the JD emphasized

  • shipping state-of-the-art DL based NLP models
  • training, building and infer large scale DL models

Other signals

  • shipping state-of-the-art DL based NLP models
  • detecting queries and content that require due diligence
  • delivering reliable & scalable distributed services
  • training, building and infer large scale DL models