Machine Learning and Artificial Intelligence Masters Internships

What you'll do

• Explore methods and apply machine learning to ambitious problems; advance technology through research and publications.
• Collaborate with researchers, engineers, and program/project managers to design and implement a machine-learning solution.
• Present internship work to leadership and, where appropriate, submit it for conference publication.

What they ask for

• Pursuing a graduate (MS) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related field.
• At internship end, return to school to continue education, or have the internship be the last requirement to graduate.

Nice to have

• Proficiency with an object-oriented programming language such as Python, Swift, Objective C, or Java; experience with ML libraries such as TensorFlow, PyTorch, CoreFlow, and Sklearn.
• Practical machine-learning knowledge, including algorithm development or adaptation; mathematical skills in linear algebra and statistics; and interactive-systems or human-interaction research experience.

Tools

Python, Swift, Objective C, Java, TensorFlow, PyTorch, CoreFlow, Sklearn

AI focus

Machine-learning research and development, including work in large language models, diffusion models, reinforcement learning, accessibility, privacy, and fairness.