Machine Learning & Artificial Intelligence Engineering Internship - Summer 2027

Description

The Machine Learning & Artificial Intelligence Engineering Internship is available to students who are currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field. To be considered for this award, you must have 1+ years of experience with programming languages such as C, C++, Python, proficiency in deep neural networks, machine learning algorithms, and architectures (CNNs, RNNs, LSTMs), experience with AI infrastructure, inference systems, distributed computing, runtime systems, GPU programming, CUDA, Kubernetes, MLIR, or performance optimization of machine learning workloads, understanding of linear algebra operations and fast math libraries, background in ML data pipelines, data management, backend/frontend applications and experience in object-oriented software design (OOSD). Internship is based out of San Diego, CA, Austin, Texas, Boxborough, Massachusetts, New Jersey, New York City, New York, Raleigh, North Carolina, Santa Clara, California