Machine Learning Engineer: Intern Opportunities for University Students, Redmond
Microsoft
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.
Machine Learning Engineer (MLE) Interns apply foundational ML and software engineering skills to contribute to the design, development, and deployment of AI-powered systems. Interns learn to bridge the gap between experimental models and scalable production systems by implementing well-scoped tasks under the guidance of experienced
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.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site.
Responsibilities
- Implements, tests, and debugs ML pipelines, models, or components as scoped by mentors.
- Applies software engineering practices (version control, testing, CI/CD) to ML code and data workflows.
- Collaborates with machine learning engineers, applied scientists, and software engineers to integrate ML models into products or services.
- Explores tools and frameworks commonly used in ML engineering (e.g., PyTorch, scikit-learn, data processing frameworks).
- Communicates progress, blockers, and learnings effectively with mentors and teammates.
Qualifications
Required Qualifications
- Enrolled in a full time bachelor's or master’s program in Computer Science, Engineering, or related field during the academic term immediately before the internship.
- Must have at least 1 semester/term remaining following the completion of the internship.
- One year of programming experience in an object-oriented language.
Preferred Qualifications
- Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
- Foundational knowledge of ML and GenAI concepts (transformer models, supervised learning, evaluation metrics, overfitting/underfitting, regularization, embeddings, tokenizers, etc.).
- Exposure to data handling (SQL, pandas, data cleaning).
- Familiarity with agentic frameworks like Semantic Kernel or LangChain and LLM/SLM tools like Ollama.
- Familiarity with basic software engineering workflows (Git, code reviews, testing).
The base pay range for this internship is USD $5610.00 - $11010.00 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 $7270.00 - $12030.00 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
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.