AI Software Engineering PhD Intern

Requirements

• 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).
• It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel .
• Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
• Our standard internship rates are based on your degree, location, and the job role.
• Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.