Computational Scientist - Artificial Intelligence & Machine Learning - JR26290-3800

University of Chicago - Chicago, IL

Full-time

Chicago, IL

Educational Services

About the position

The Computational Scientist - Artificial Intelligence & Machine Learning at the University of Chicago's Research Computing Center (RCC) is responsible for developing software that supports data acquisition, ingestion, and integration for various research projects. This role involves collaborating with faculty, post-docs, and graduate students to apply AI and machine learning techniques across diverse research domains, enhancing scientific output through scalable back-end services and user interfaces.

Responsibilities

• Support applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert.
• Work closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
• Independently and proactively propose and execute practical solutions to research challenges.
• Develop and implement AI and machine-learning based methods for different use cases: images, video, speech, unstructured text, etc.
• Develop, maintain, and support data analysis, AI and Machine Learning pipelines.
• Confidently solve regression, classification, clustering, forecasting, and anomaly detection problems using established machine learning techniques.
• Communicate highly technical information to numerous audiences, including faculty, students, researchers, and staff.
• Help faculty with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.
• Create and present tutorials, hands-on workshops, and documentation to train the research community.
• Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates.
• Assist in conducting information security assessments and risk analysis of computing environment.
• Evaluate past and present technologies to help develop new tools.

Requirements

• Minimum college or university degree in a related field.
• 2-5 years of work experience in a related job discipline.

Nice-to-haves

• Ph.D. in computer science, computer engineering, data science, or similar.
• Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience applying latest AI/ML techniques in computer vision and image classification analysis.
• Experience with one or more following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
• Experience using AI/ML techniques to solve real-world applications.
• Proficiency in Python.
• Experience with one or more Python libraries such as NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK.
• Experience with one or more high-level programming languages such as C/C++, Matlab, or R.