Senior Applied Scientist – Microsoft Search, Assistant, and Intelligence (MSAI)

Microsoft London, England Posted Oct 10, 2025

Full Time
Onsite
Junior

Job description

This Senior Applied Scientist role in Microsoft Search, Assistant, and Intelligence (MSAI) is focused on leading and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group. It would suit someone who can bring driving product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture to the role.

How the role is set up

This role sits within the Microsoft Search, Assistant, and Intelligence (MSAI) organization, which powers the intelligence behind M365 Copilot by combining cutting-edge advances in. Help shape the future of Microsoft 365 Copilot, with a focus on Search, Chat and Agent experiences.

Where someone would start

Leading and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group. Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications.

What helps someone build confidence

Driving product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. High professional standards and disciplined judgement.

What is expected

  • Experience in SFT (Supervised Fine Tuning) and/or RL (reinforcement learning) modeling experience and/or proven experience of shipping search or recommender systems at scale.
  • Experience designing and implementing agentic AI models and systems.
  • Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND proficient years related experience (e.g., statistics, predictive analytic.

Job details

  • Additional detail: Additional staff or wellbeing benefits may be available.
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