Software Engineer: Applied AI/ML Intern Opportunities for University Students
About The Position
Applies engineering principles and AI techniques to solve complex problems through sound and creative engineering. Works with appropriate stakeholders to determine user requirements for a feature. Quickly learns new engineering methods, emerging AI and machine learning techniques and incorporates them into work processes. Seeks feedback and applies internal or industry best practices to improve technical solutions. Demonstrates skill in time management and completing software projects in a cooperative team environment. Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
Requirements
- Enrolled in a full time bachelor's or master's program in Computer Science, Engineering, or related field during the academic term immediately before the internship.
- Must have at least 1 semester/term remaining following the completion of the internship.
- One year of programming experience in an object-oriented language.
- Ability to submit an official or unofficial academic transcript as part of the evaluation process, if selected for interviews.
- Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms and AI/machine learning concepts.
- Experience with AI/ML projects, such as developing machine learning models, working with large datasets, or implementing AI solutions in real-world applications.
- Familiarity with AI frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
