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Temporary Machine Learning Postdoc Jobs in Michigan

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

Job Summary A Postdoctoral Research Fellow position is available in the Edwards Lab at the ... Nicole Edwards, in a collaborative learning environment. Responsibilities* Research projects (80 ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Temporary Salary: $47.82-53.13 Hourly W2 Start Date: ASAP Partner with Aquent to join a leading ... This is your chance to build scalable AI solutions using modern machine learning, generative AI ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Michigan? The most popular types of Machine Learning Postdoc jobs in Michigan are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Michigan? For Temporary Machine Learning Postdoc jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Michigan look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Michigan are:
What cities in Michigan are hiring for Temporary Machine Learning Postdoc jobs? Cities in Michigan with the most Temporary Machine Learning Postdoc job openings:
Temporary Machine Learning Postdoc jobs near you

Fall 2026 Grader II - SI 670 (Temp)

University of Michigan

Ann Arbor, MI • On-site

Part-time

Posted 24 days ago

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

153rd of 614 rated colleges and universities

Job description

How to Apply
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.
Job Summary
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.
Responsibilities*
  • 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.

Required Qualifications*
  • 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.

Course Description
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.
Modes of Work
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 .
Additional Information
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.
Background Screening
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.
U-M EEO Statement
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.
Job Detail
Job Opening ID
279707
Working Title
Fall 2026 Grader II - SI 670 (Temp)
Job Title
GRADER II (TEMP)
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Mobile/Remote
Full/Part Time
Part-Time
Regular/Temporary
Temporary
FLSA Status
Nonexempt
Organizational Group
School Information
Department
School of Information
Posting Begin/End Date
7/07/2026 - 8/29/2026
Career Interest
Temporary Job Opening

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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