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Fall Machine Learning Co Op Jobs in New Mexico (NOW HIRING)

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Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in New Mexico?

For Fall Machine Learning Co Op jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in New Mexico look for?

The top searched job categories for Fall Machine Learning Co Op jobs in New Mexico are:

What cities in New Mexico are hiring for Fall Machine Learning Co Op jobs?

Cities in New Mexico with the most Fall Machine Learning Co Op job openings:

Student Manager Learning Strategies Program - Center for Teaching and Learning

University of New Mexico

Albuquerque, NM • On-site

$15/hr

Full-time

Re-posted 10 hours ago


University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

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Job description

Student Intermediate Level
Requisition ID
req36590
Working Title
Student Manager Learning Strategies Program - Center for Teaching and Learning
Pay
$15.00 Hourly
Campus
Main - Albuquerque, NM
Department
CTL General Administrative (521B)
Employment Type
Student Employment
Student Type
Status
Non-Exempt
Background Check Required
No
For Best Consideration Date
7/21/2026
Position Summary
Learning Strategies (LS) Program - Student Manager Position Summary
This application is for FALL 2026 hiring only.
Student Managers are undergraduate and graduate students that support the programming and tutoring services offered to UNM students at the Center for Teaching and Learning (CTL). Through this leadership position, the LS Student Manager provides mentorship and guidance to Learning Strategists in collaboration with the Student Success Supervisor, Assistant Coordinator, and Faculty.
LS Student Managers undergo extensive training in preparation to perform the following responsibilities:
  • Provides administrative coordination and expertise for the LS Program and its services.

  • Participates in LS program planning meetings throughout the semester and supports day-to-day operations.

  • Co-facilitates program and staff evaluations using data driven methodologies.

  • Models professional ethics and expectations.

  • Makes informed decisions and takes appropriate actions to maintain the integrity of CTL.

  • Co-facilitates weekly trainings for student employees using best practices in academic support and tutoring.

  • Represents CTL internally and externally through presentations to student groups, organizations, and classes regarding CTL-related services.

  • Upholds and models CTL policies and values.

  • Other duties as assigned related to program need.

Requirements for Consideration
  • Enrollment in a minimum of 6 credit hours at the University of New Mexico in a degree seeking program.

  • 15-20 hour work week availability.

  • Attendance at pre-semester trainings (week before classes begin).

  • Attendance at weekly Friday trainings (3:00pm-4:30pm).

  • Flexible schedule for occasional evening shifts.

  • Minimum 3.0 GPA.

Minimum Qualifications
Equivalencies not found for this position
Preferred Qualifications
Preferred Qualifications
  • At least one year of experience as a Learning Strategist or equivalent role in a student support position.

  • Excellent oral, written, electronic, and interpersonal communication skills.

  • Ability to work independently with an enthusiasm for learning development.

  • Ability to work collaboratively and cooperatively with a diverse team of peers and professionals.

  • Ability to communicate with and value people with diverse academic skills, cultural backgrounds, and approaches to learning.

  • Proficient in Microsoft Office and other digital environments.

  • Desire to mentor and lead peers towards personal and professional goals.

  • Desire to develop and maintain healthy team dynamics.

  • Adaptability, availability and patience.

  • Effective organizational skills and information tracking.

Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
IMPORTANT: A dayor two after you applyinUNMJobs, our staff will email you a post-application questionnaire. Depending on the position, you maybe requiredto attach/submitcertain documents (For example: Transcripts, cover letter, work study award, recommendations, etc.). Full details will be on the form. Your questionnaire and documents must besubmittedbefore your applicationwill beconsidered.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

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