AI Software Engineering PhD Intern

Job Details

Job Description

Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware - software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system level deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands-on experience and projects that support Intel business goals in a collaborative environment.

Qualifications

Minimum Qualifications

PhD Candidate from an accredited engineering or computer science program with emphasis on Artificial Intelligence, in particular on topics related to federated learning, image classification, or multiscale attention for object detection, computer vision, image processing, and feature engineering. Minimum 3.0 GPA or higher and proven track record of academic success. Research/Course work on explainability tools Data engineering and preparation: data engineering, feature engineering, data imbalance, noisy dataset Strong grasp of linear algebra, statistics, and probability. Strong analytical, problem-solving, communication skills. Self-motivation, and teamwork. Experience or skills in the following languages: Python, C++, PyTorch, TensorFlow, and OpenCV Familiarity with Git, cloud, cloud concepts, containers, docker and MLOps.

Preferred Qualifications

Experience in deploying AI applications in production environments, requiring high levels of precision and accuracy. Experience in working within the semiconductor industry or similar. Research: First-author publications in top CV conferences (CVPR, ICCV, NeurIPS). A portfolio with projects in CV/Image AI (e.