A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Upload your cover letter and resume to this Dropbox folder as a single file.

Graders will be focused on evaluating weekly homework assignments under the guidance of the instructor and GSI and entering grades into Canvas. Assignments will contain a mix of short answers, multiple-choice, and code. It will be helpful for applicants to have experience reading and understanding Python and a general understanding of machine learning concepts. Solutions and rubrics will be provided.

• Score objective examinations and papers at the undergraduate or graduate level
• Compute and record test scores
• Graders cannot have student interaction, teaching, or course development responsibilities.

• Undergraduate/Graduate student in good academic standing with knowledge of the subject matter.
  - OR -
  Non-UM Student with a Bachelor's or Master's degree in a relevant field
• Knowledge of Python and libraries including pandas, numpy, and scikit-learn
• General understanding of machine learning concepts.
   

Students will learn how to correctly apply, interpret results, and iteratively refine and tune supervised and unsupervised machine learning models to solve a diverse set of problems on real-world datasets. Application is emphasized over theoretical content.

More information about this course can be found on U-M's Course Catalog via Wolverine Access.

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.

You must be eligible to work in the United States, as visa sponsorship is not available for this position. In addition, while remote work is allowable for this position, all work must be performed within the United States and its territories.

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.

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.