Machine Learning and Artificial Intelligence Undergrad Internships

What you'll do

• Collaborate with researchers, engineers, and program/project managers on machine-learning challenges.
• Design and implement a solution to a meaningful machine-learning problem; explore methods and advance technology through research and publications.
• Present internship work to leadership.

What they ask for

• Pursuing an undergraduate (BS/BA) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related field.
• At the end of the internship, return to school to continue education, or have the internship be the last requirement for graduation.

Nice to have

• Proficiency in an object-oriented programming language such as Python, Swift, Objective C, or Java; experience with ML libraries such as TensorFlow, PyTorch, CoreFlow, and Sklearn.
• Knowledge or experience in machine learning and related areas, interactive systems, mathematical methods, or human-interaction studies; ability to collaborate and solve problems.

Tools

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

AI focus

Machine-learning research and solution development, including areas such as large language models, diffusion models, reinforcement learning, accessibility, privacy, and fairness.