761 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at The University of Chicago in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
rigorous academics while engaging with the University, surrounding neighborhood, and city of Chicago. For more information please visit our website http://www.collegeadmissions.uchicago.edu. Job Summary The
-
. Implements and informs machine learning models to enhance targeting, and psychographic data blending to inform decision making for different parts of the School. Generates analytical insights, and creates
-
personal computer and standard software packages. Able to maintain confidentiality. Able to inspect facilities, including mechanical, electrical and plumbing systems. Working Conditions Able to climb stairs
-
, or similar field. Familiarity with higher education advancement. Background managing cross-team projects. Technical Skills or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly
-
computers, tablets, printers/copiers, and maintains servers. Responsibilities Responsible for the maintenance of ISAC server infrastructure (including both on-premise & cloud-based/virtual machine servers) in
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
and distributed computing environments, and working with large-scale machine learning models. The successful candidate will contribute to the development of agentic systems, working with a team of
-
maintenance of courses, modules, and events within the learning management system. This role blends technical skills with collaboration, ensuring that learners can access high-quality, accurate, and well
-
information for at least two (2) professionals in the field who can provide letters of recommendation. Applications must be submitted at this link: https://apply.interfolio.com/178857 . Applications must be
-
reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources