University of Chicago · 4 months ago
Computational Scientist - Artificial Intelligence & Machine Learning
Chicago, IL
Full-time
Hybrid
Entry, Mid Level
$81K/yr - $104K/yr
2+ years expThe University of Chicago Research Computing Center (RCC) is dedicated to providing high-end research computing resources to researchers. They are seeking an experienced Computational Scientist specializing in AI and Machine Learning to support research projects, develop software, and collaborate with faculty and students to advance scientific output through computational methods.
Higher Education
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
Independently propose and execute practical solutions to various research challenges
Communicate highly technical information to numerous audiences, including faculty, students, researchers, and staff. Teach others and learn new techniques
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. Assists in conducting information security assessments and risk analysis of computing environment
Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews
Performs other related work as needed
Qualification
Required
Minimum requirements include a college or university degree in related field
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline
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
Assists in conducting information security assessments and risk analysis of computing environment
Evaluates past and present technologies to help develop new tools
Ensures all the new tools have been through quality control reviews
Performs other related work as needed
Preferred
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 of 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
Experience with Git and in general with version control
Experience with Linux/Unix
Experience with statistical and numerical methods
Excellent interpersonal, verbal, written, and presentation skills
A broad knowledge of algorithms, programming languages, and libraries
Ability to understand and translate researchers' scientific goals into computational requirements
Ability to identify and gain expertise in appropriate new technologies and/or software tools
Ability to function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission
Demonstrated ability to work collaboratively within cross-functional teams
Strong analytical skills and problem-solving ability
Ability to work well with faculty and researchers
Experience writing or contributing to grant proposals
Benefits
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Company
University of Chicago
One of the world’s great intellectual destinations, the University of Chicago empowers scholars and students to ask tough questions, cross disciplinary boundaries, and challenge conventional thinking to enrich human life around the globe.
10001+ employees
H1B Sponsorship
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