Applied Scientist/Senior Applied Scientist

The M365 Core organization has got multiple positions open for Mid Level and Senior Applied Scientist across different teams within Microsoft Development Centers in UK, Estonia, Czech Republic and Romania.

The Applied Scientist II and Senior Applied Scientist positions within M365 Core are tailored for individuals passionate about advancing artificial intelligence, machine learning, and model optimization in the context of Microsoft 365's core services. As part of an agile and innovative team, you will contribute directly to the development and fine-tuning of large language models (LLMs) and task-specific agents that power intelligent features across the M365 ecosystem, such as Copilot, Outlook, Teams, SharePoint, and OneDrive. This role offers the opportunity to collaborate with engineers and researchers focused on deep learning and natural language processing, enhancing productivity, collaboration, and security for enterprise customers. You will thrive in a research-driven environment that fosters technology innovation, empowering every person and organization using M365 Core to achieve more.  

This position provides a supportive environment for those who excel in deep thinking, advanced development, and fast-paced entrepreneurial execution.  

If you are passionate about artificial intelligence, deep learning, and model optimization, and are eager to help shape the next generation of AI for enterprise solutions, we invite you to join our team and make a meaningful impact. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Conduct research and development to push the boundaries of model training, evaluation, and quality assessment for AI solutions. 
• Fine-tune LLMs on tenant data to enable task-specific agents and solutions within the enterprise ecosystem. 
• Collaborate with engineers and researchers to advance deep learning, natural language processing (NLP), multimodal models, and model optimization techniques. 
• Measure, analyze, and report on model performance, quality, and impact using predictive analytics and statistical methodologies. 
• Contribute to a culture of inclusion, respect, integrity, and accountability while fostering innovation and growth across teams. 
  
  

Qualifications

Required Qualifications: 

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND demonstrated experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proven experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience.
• Confirmed experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small language model). 
• Proven experience with productization or shipping ML and/or AI components at internet scale. 
• Proficient in at least one programming language commonly used in machine learning (e.g., Python).
  

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  
  

Preferred Qualifications

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research)  
• OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)  
• OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)  
• OR equivalent experience. 
• Experience creating publications such as patents or peer-reviewed academic papers 
• Demonstrated experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). 
• Proficient in building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation). 
  

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.