Data Science Internship Opportunities

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.

Are you passionate about bringing the next generation of AI models to run on personal devices? Join our Data Science team within Microsoft’s Israel R&D Center, where we are pioneering cutting-edge techniques in deep learning, model compression, and AI security to deploy models on edge devices.

As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

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
Design, implement, and evaluate methods to enable efficient, secure and optimized deployment of AI models on edge or resource-constrained platforms.
Drive innovation and practical research, iteratively improving solutions based on empirical results, working with large-scale textual datasets.
Document research findings and contribute to publications, open-source projects, or patent filings as appropriate.
Formulate approaches to solve problems using well defined algorithms and data sources
Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
Qualifications

Required Qualifications

Currently pursuing a PhD/ Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
Must have at least three additional semesters of school remaining (graduation date 2027 or later)
Solid background in machine learning, deep learning, language models and optimization.

Preferred Qualifications

Currently pursuing a PhD in Computer Science, Engineering, Data Science, Mathematics, or related field.
Proficiency in Python and experience with PyTorch, TensorFlow and ONNX.
Research or hands-on experience in efficient model architecture and model compression techniques (quantization, pruning, distillation, etc.).
Research or hands-on experience with language models (e.g., BERT, LLaMA, GPT).
Publications in top-tier relevant ML venues (e.g., NeurIPS, ICML, ACL, or ICLR).
Previous industry experience as a Data Scientist / Intern.
Solid background in machine learning, deep learning, language models and optimization.
Strong analytical thinking and independent research capabilities.
Excellent communication, collaboration, and writing skills.

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.