Machine Learning Engineer: Intern Opportunities for University Students, Redmond
Microsoft is seeking Machine Learning Engineer Interns to contribute to the design, development, and deployment of AI-powered systems. Interns will implement well-scoped tasks under the guidance of experienced mentors, bridging the gap between experimental models and scalable production systems.
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
Skills
- 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
- 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)
Benefits
- Certain roles may be eligible for benefits and other compensation.
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