Machine Learning and Artificial Intelligence Undergrad Internships
Core
Undergraduate internship to explore new methods, apply machine learning to solve ambitious problems, and advance state-of-the-art technology through research and publications.
Role type
Undergraduate Machine Learning Research Intern
Builds
Innovative solutions for Machine Learning problems
Domain
Consumer technology, Machine Learning, Research
Deliverable
research
Required skills
Object-oriented programming (Python, Swift, Objective C, Java), ML libraries (TensorFlow, PyTorch, CoreFlow, Sklearn), algorithm building and adaptation, linear algebra, statistics, experimental design and analysis
Preferred skills
Ethnographic studies of human interaction, quantitative analysis (statistics, econometrics, operations research, causal inference, time series, optimization), collaboration, problem solving
Technologies
Python, Swift, Objective C, Java, TensorFlow, PyTorch, CoreFlow, Sklearn
Responsibilities
Collaborate with researchers and engineers to tackle innovative challenges, receive technical mentorship, design and implement solutions for ML problems, present work to leadership
Seniority
Undergraduate Intern
