Objective grading for cross-listed courses ARI 410/510. 

This position will not involve instruction, subjective grading, mentoring, or tutoring.

ARI 410 - Machine Learning

Study of machine learning, a subfield of artificial intelligence intersecting with statistics, cognitive science, information theory, optimization, and probability theory. Topics include but are not limited to linear discriminants, neural networks, decision trees, support vector machines, unsupervised learning, and reinforcement learning.  With examples from real-world applications, students learn to build systems that learn and adapt from experience. Graded ABCDE

Objective grading and the recording of student assessments as directed by the course instructor, following the instructor's prescribed methods and required response time. 

• Must be a current UM-Flint Undergraduate Student 
• Familiarity with Python
• Experience training and evaluating machine learning models
• Understanding of fundamental machine learning algorithms and best practices 

• Ability to be responsive to the needs of the instructor in terms of reliability, communication, accuracy, and timeliness

  
   

Hybrid
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

Temp job openings are posted for a minimum of three calendar days.  The review and selection process may begin as early as the fourth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.