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. Currently pursuing Bachelor's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship, OR currently pursuing Master's Degree in Computer Science or related technical field with at least one semester/term remaining following the completion of the internship. One year of programming experience in an object-oriented language. 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.
