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Summer Artificial Intelligence Machine Learning Jobs in Colorado

Vizient

AVP, Machine Learning & Modeling

Englewood, CO · On-site

$156K - $290K/yr

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

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Summer Artificial Intelligence Machine Learning information

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Colorado?

The most popular types of Artificial Intelligence Machine Learning jobs in Colorado are:

Summer Artificial Intelligence Machine Learning jobs near you
Infographic showing various Summer Artificial Intelligence Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Professional Research Assistant

Boulder, CO • On-site

University of Colorado Boulder
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Colorado Boulderexternal

$40K - $55K/yr

Full-time, Part-time

Medical, Dental, Retirement, PTO

Re-posted 18 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

154th of 633 rated colleges and universities

Job description

Requisition Number:

73573

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Part-Time

Date Posted:

22-Jul-2026
Close All
Job Summary

The experimental heavy ion group at the University of Colorado Boulder invites applications for a person to conduct research under the direction of Professors Jamie Nagle and Dennis Perepelitsa. The group is involved in the sPHENIX and ATLAS experimental efforts and has an interest in the future ePIC experiment. The candidate is expected to work on artificial intelligence / machine learning centered efforts that also couple to physics analysis efforts.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are

The experimental heavy ion group at the University of Colorado Boulder has leading roles in the sPHENIX experiment at the Relativistic Heavy Ion Collider and the ATLAS experiment at the Large Hadron Collider, and is a member of the ePIC experiment at the future Electron Ion Collider. The group is led by Professors Jamie Nagle and Dennis Perepelitsa. We place a strong emphasis on the scientific productivity and career development of junior group members.

What Your Key Responsibilities Will Be
  • The person will be involved in leading experimental efforts within the research group, which may include artificial intelligence / machine learning centered efforts and physics data analysis.
What You Should Know
  • The position may be based in Boulder or under special circumstances other locations depending on the particular role, with travel to other locations for experimental work or conferences/workshops as appropriate.
What We Can Offer
  • The appointment may range from 50% to 100% FTE, with an annual salary range of $40k-55k.
  • Moving reimbursement for up to $1,000. Payment contingent on actual expenses incurred.
Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
  • An undergraduate degree in physics or in a related field with relevant experience in artificial intelligence / machine learning with applications in physics.
  • During the application process you will need to enter contact information for one reference. Please arrange for them to be equally sent to the following email: jamie.nagle@colorado.edu
  • Review of the applications will begin immediately and will continue until the position(s) are filled. For any questions, please contact jamie.nagle@colorado.edu
Special Instructions
To apply, please submit the following materials:
  1. Resume or CV
  2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.

During the application process you will need to enter contact information for a reference who may be contacted to provide a letter of recommendation and additional materials, if needed, as the search progresses.


For full consideration, please apply by August 15, 2026. The position will remain posted until filled.

Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs. 

In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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