Applied Scientist / Senior Applied Scientist

@ Microsoft

Overview

The M365 Core organization at Microsoft is seeking Mid Level and Senior Applied Scientists in various development centers across the UK, Estonia, Czech Republic, and Romania. These roles are designed for individuals who are passionate about advancing artificial intelligence, machine learning, and model optimization within Microsoft 365's core services.

Role Description

As an Applied Scientist / Senior Applied Scientist at Microsoft, you will collaborate with engineers and researchers to develop and fine-tune large language models (LLMs) and create task-specific agents. Your work will empower intelligent features across the M365 ecosystem, including Copilot, Outlook, Teams, SharePoint, and OneDrive. You will innovate in a research-driven environment that emphasizes deep thinking, advanced development, and fast-paced execution.

Responsibilities

• Conduct research to push boundaries in model training and evaluation.
• Fine-tune LLMs with tenant data for task-specific solutions.
• Collaborate with engineers and researchers on deep learning and NLP projects.
• Measure and analyze model performance using predictive analytics.
• Foster a culture of inclusion, respect, and accountability.

Qualifications

Required qualifications include a degree in a related STEM field (or equivalent experience) and confirmed experience in training/fine tuning AI/ML models (preferably LLMs/SLMs). Proven productization of ML/AI components at scale and proficiency in a programming language such as Python are also required.

Preferred Qualifications

Preferred candidates will have advanced degrees or equivalent experience, a record of academic or patent publications, and hands-on experience building Generative AI pipelines, such as those with Retrieval Augmented Generation (RAG).

Microsoft Culture

Microsoft values growth, innovation, and inclusion. The company is committed to a respectful, integrity-driven work environment where every employee can thrive.

Key skills/competency

• Artificial Intelligence
• Machine Learning
• Model Optimization
• Deep Learning
• Natural Language Processing
• LLMs
• Python
• Predictive Analytics
• Research
• Collaboration