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Internship Ai Computer Science Jobs in Colorado (NOW HIRING)

This role is ideal for early-career analysts with 0-2 years of experience or relevant internships ... Bachelor's degree (or in progress) in Computer Science, Statistics, Mathematics, Business Analytics ...

Basic Function Summer Internships at SB Energy! Are you looking for an internship to jumpstart your ... Degree (or pursuing a degree) in Engineering, Computer Science, Data Science, or related field

Currently pursuing or recently completed a Bachelor's degree in Computer Science, Software ... Clear communication skills Why This Internship Stands Out * Work on real fintech systems , not mock ...

Currently pursuing or recently completed a Bachelor's degree in Computer Science, Software ... Clear communication skills Why This Internship Stands Out * Work on real fintech systems , not mock ...

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. • Minimum 4 years of experience in industry with a strong focus on applied AI/ML ...

Our internships have a specific focus, but often get broader exposure to SB Energy's business ... Degree (or pursuing a degree) in Engineering, Computer Science, Data Science, or related field

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Internship Ai Computer Science information

What are the key skills and qualifications needed to thrive as an AI Computer Science Intern, and why are they important?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.
What are popular job titles related to Internship Ai Computer Science jobs in Colorado? For Internship Ai Computer Science jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Internship Ai Computer Science jobs? Cities in Colorado with the most Internship Ai Computer Science job openings:
Infographic showing various Internship Ai Computer Science job openings in Colorado as of May 2026, with employment types broken down into 33% Internship, 50% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.
Assistant Professor - Computer Science

Assistant Professor - Computer Science

University of Colorado

Colorado Springs, CO • On-site

$102K/yr

Full-time

Posted 17 days ago


University Of Colorado rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities


Job description

This position does not include new visa sponsorship for individuals outside the U.S. Candidates must already be in the United States with valid work authorization or an employment-based visa. The university will not initiate sponsorship for those who do not currently hold a U.S. work visa or authorization. If you already have valid U.S. work authorization or are on a visa that permits employment, we welcome your application.
Assistant Professor
Department of Computer Science
College of Engineering and Applied Science
Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies!
Who We Are
The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking an Assistant Professor in Computer Science to join our team! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success.
At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery-a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle.
Salary Range: $ 96,000 - $102,000 per academic year. Compensation will be commensurate upon experience and qualifications.
This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions.
Benefits at a Glance
  • Want to know your total compensation? Use our calculator to get the complete picture!
  • CU advantage

Summary
An assistant professor in Computer Science will develop and teach undergraduate and graduate courses in computer science as assigned by the chair based on departmental needs, will possess a solid publication record, and be expected to develop or continue to develop a strong research group with an externally funded research program in Artificial Intelligence (AI).
We welcome applicants in all areas of AI, including Foundational AI, Applied AI, Agentic AI, Generative AI, Embodied AI, Human-Centered AI, Machine Learning and Statistical Learning, Deep Learning and Foundation Models, Reinforcement Learning, and High-Performance Computing for AI.
The Department of Computer Science at UCCS excels in preparing undergraduates for careers in the computing industry locally and nationally by providing ABET-accredited classes of high quality. The department has over 700 majors across several programs including graduate-level programs to suit the needs of full-time students and working individuals in the region.
The Department of Computer Science is an NSA/DHS designated National Center of Academic Excellence in Cyber Defense Education (CAE-CD) and in Research (CAE-R). We comprise 22 full-time faculty, including NSF CAREER, NIH MIRA, and AFOSR YIP winners, with approximately 600 undergraduates, 70 master's students, and 50 PhD students in two PhD programsone in Computer Science and the other in Cybersecurity. In 2024-25, the department averaged $650K in active funding per tenure track faculty member. We actively support students through NSF CyberCorps Scholarship for Service (SFS), DoD Cyber Scholarship Program (CySP), and DoD VICEROY grants. The department proudly advocates and pushes the university's efforts to continue to grow its high research activity.
Explore the Computer Science Department and undergraduate and graduate degrees here.
Essential Functions
  • The duties and responsibilities of the position include, but are not limited to:
  • Provide instruction to undergraduate/graduate students.
  • Maintain a funded research program
  • Engage in service activities to support the university, city, state, region, nation and/or professional associations.
  • Provide mentorship to students and junior faculty
  • Participate in curriculum development, implementation, and evaluation.
  • Participate in meetings and other activities that advance the mission and goals of the department and college.
  • Other duties as determined by the Dean and Department Chair.

Tentative Search Timeline
  • Priority will be given to applications submitted by: March 13th, 2026.
  • Potential interview dates: weeks of March 30 and April 6, 2026.
  • Potential start date: August 17, 2026.

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.
In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices.
Qualifications
  • PhD in Computer Science or a related field at the time of employment is required (August 2026)
  • Applicants must have prior teaching experience at the post-secondary level as a teaching assistant, instructor of record, or in an equivalent role.

To perform this job successfully, an individual must be able to perform each of the established essential functions and meet the physical and environment demands described satisfactorily. The requirements listed are representative of the knowledge, skill, ability, physical and environmental conditions required of the employee on the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, physical and environmental demands.
Applicants with disabilities: If you have a mental or physical impairment, which limits one of your major life activities (e.g. walking, hearing, seeing, speaking, breathing, or learning) and require special accommodations for testing or interviewing, it is your responsibility to notify the office scheduling the interview or test at least 3 working days before the interview or test date. If you need special accommodations at the work site, you must notify the appointing authority or Human Resources.

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