Machine Learning and Artificial Intelligence PhD Internships

What you'll do

• Explore methods and apply machine learning to challenging problems, advancing technology through research and publications.
• Collaborate with researchers, engineers, and project or program 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

• Currently pursuing a PhD in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a related field.
• At the end of the internship, must return to school to continue education, or the internship must 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.
• Practical knowledge of machine-learning algorithms or related areas; relevant research, engineering, interactive-systems, mathematical, or experimental experience.

Tools

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

AI focus

Research and application of machine learning, including large language models, diffusion models, reinforcement learning, accessibility, privacy, and fairness.