Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead. 

As a Data Science Intern at Microsoft, you'll have the opportunity to work with cutting-edge technologies in Generative AI, Large Language Models (LLMs) and Natural Language Processing (NLP). You'll join an experienced research group dedicated to developing innovative features for various Microsoft services and products.  

In this role, you'll work on real-world projects in collaboration with teams worldwide. You will have end-to-end responsibility for features - from design to implementation, evaluation, and performance improvements. You'll work directly with the newest LLMs to build solutions that provide real-time assistance, enhance productivity, and improve customer experiences in impactful ways users never imagined possible. 

Combining your research and engineering abilities and analytical skills, you'll work with multimodal LLMs using various data sources such as text, images, and audio, fine-tune LLMs, automate prompt generation, and engage in data preprocessing, for Microsoft products. 

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

• Develop and deploy innovative features using LLMs and advanced NLP techniques for Microsoft Copilot products. 

• Work with advanced AI models to improve the quality, relevance, and impact of AI-powered features, staying current with the latest advancements in AI and using the most up-to-date OpenAI and MS models. 

• Participate in all phases of feature development, including data preparation, prompt engineering, evaluation, and deployment. 

• Collaborate with a multidisciplinary team of researchers, engineers, and product managers to design AI-driven solutions that enhance user experience in Microsoft 365 and other MS products. 

• Adhere to Responsible AI principles, ensuring privacy, security, and ethical considerations in all AI solutions. 

Qualifications

Required Qualifications:

• Currently pursuing a Master's or Doctorate Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. 

• Must have at least three additional semesters remaining before graduation.  

• Experience applying machine learning algorithms to data, and practical coding experience. 
  
  

Preferred Qualifications:  

• Research or industry experience in Generative AI, DL, LLMs and NLP.  

• Experience in programming languages, with a preference for Python, used for data processing and analysis. 

• Experience with product evaluation, A/B testing, or experimentation. 

• Strong capabilities in solving complex problems and integrating engineering skills with analytical thinking to enhance user experiences. 

• Ability to work as part of a team, contributing to other people’s tasks and consulting with colleagues over your tasks 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.