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 Software Engineering Intern – AI/ML & LLM, you will help build AI-powered products and platforms that leverage machine learning, large language models, and intelligent services. You will work alongside engineers, researchers, signers, and linguistic experts while going deeper on a technical project aligned with your interests, experience, and the team’s priorities. You may contribute to model integration, retrieval systems, inference services, evaluation frameworks, or the infrastructure that enables AI applications at scale. This opportunity will allow you to expand your knowledge of modern AI technologies while helping shape the future of software development and user experiences.
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.
We’re building the data, tools, and models needed for technology to understand sign language and translate those capabilities into useful experiences. The work spans everything from capturing high-quality signing data to training and evaluating models and integrating them into product.
This is for a 2027 summer internship.
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
Applies engineering principles to solve complex problems through sound and creative engineering.
Works with appropriate stakeholders to determine user requirements for a feature.
Quickly learns new engineering methods and incorporates them into work processes.
Seeks feedback and applies internal or industry best practices to improve technical solutions.
Demonstrates skill in time management and completing software projects in a cooperative team environment.
Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
Qualifications
Required Qualifications
Currently pursuing Bachelor’s Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship,
OR currently pursuing Master’s Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship.
Preferred Qualifications
- Proficient in American Sign Language
1+ year(s) of programming experience.
6+ months of experience in delivering projects in teams.
1+ year(s) of experience in developing and applying data structures and algorithms.
Coursework, projects, or prior experience in machine learning, artificial intelligence, or data science.
Understanding of machine learning concepts, model evaluation, retrieval systems, large language models, or prompt engineering.
Experience using Python or other relevant programming languages through coursework, research, personal projects, or equivalent practical work, including effective use of AI-assisted development tools.
Interest in computer vision, language technology, accessibility, or human-computer interaction.
Reliable problem-solving and troubleshooting skills.
Prior experience with sign language and AI preferred but not expected.
Familiarity with APIs, cloud services, distributed computing, search/ranking, RAG architectures, or performance optimization.
#EiP
The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Currently pursuing a Bachelor's degree in Computer Science or a related technical field, with at least one semester remaining after the internship
- Currently pursuing a Master's degree in Computer Science or a related technical field, with at least one semester remaining after the internship
- Proficiency in American Sign Language
- At least 1 year of programming experience
- At least 6 months of experience delivering projects in teams
- At least 1 year of experience developing and applying data structures and algorithms
- Coursework, projects, or prior experience in machine learning, artificial intelligence, or data science
- Understanding of machine learning concepts, model evaluation, retrieval systems, large language models, or prompt engineering
- Experience using Python or other relevant programming languages through coursework, research, personal projects, or equivalent practical work
- Interest in computer vision, language technology, accessibility, or human-computer interaction
- Reliable problem-solving and troubleshooting skills
- Prior experience with sign language and artificial intelligence
- Familiarity with APIs, cloud services, distributed computing, search and ranking, RAG architectures, or performance optimization
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Healthcare Strength — Medical, dental, and vision coverage is described as comprehensive, with U.S. plans covering preventive care at 100% and limiting annual out-of-pocket costs. Mental-health counseling, employee assistance, and wellbeing resources are also emphasized.
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Parental & Family Support — Parental leave, family-caregiver leave, childcare assistance, and family concierge services are highlighted as core elements. These supports are presented alongside parenting and family-planning resources.
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Leave & Time Off Breadth — Vacation, holidays, and flexible work schedules are emphasized, with generous time-away policies noted. Leave options extend beyond standard vacation to include caregiver and parental programs.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
