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Internship Ai Computer Science Jobs in Utah (NOW HIRING)

Brex Rotational Program

Salt Lake City, UT ยท On-site

$58K - $66K/yr

Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles in an operational, data, or technical ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

AI Engineer

Saint George, UT ยท On-site

$50K - $90K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience. * 4-8 years of experience in AI engineering, data science, software engineering, software ...

Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience. * 4-8 years of experience in AI engineering, data science, software engineering, software ...

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Internship Ai Computer Science information

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 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 are the most commonly searched types of Ai Computer Science jobs in Utah? The most popular types of Ai Computer Science jobs in Utah are:
What are popular job titles related to Internship Ai Computer Science jobs in Utah? For Internship Ai Computer Science jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Internship Ai Computer Science jobs? Cities in Utah with the most Internship Ai Computer Science job openings:
Chair, Faculty (AI & Machine Learning)

Chair, Faculty (AI & Machine Learning)

Neumont College of Computer Science

Salt Lake City, UT โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

CHAIR, FACULTY is needed to perform the following duties:
  • Cover all material defined in the course description and syllabus; meet course schedule expectations per the academic calendar
  • Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
  • Deliver course content using active and project-based learning methodologies; develop effective assessments measuring applied student learning
  • Maintain LMS with updated syllabi, materials, and grades; provide timely feedback on assignments and projects
  • Use mid- and end-of-quarter evaluations to continuously improve course delivery
  • Attend faculty meetings; collaborate with faculty to improve student outcomes; hold minimum 1-2 hours of office hours per weekday.
  • Design and develop courses including Data Science, Applied AI Tools in Business, Data Analytics and Visualization, Applied Python for Data Analysis, Data Engineering, and Cloud-Based AI Solutions
  • Evaluate and adjust degree curriculum through annual program audits and biannual PAC feedback; serve on the curriculum committee
  • Oversee course supervision; guide course development using project-based and active learning methodologies
  • Assist Corporate Relations in evaluating Enterprise Projects; evaluate student Capstone project proposals for technical rigor
  • Manage department budget; monitor overall student performance across the program
  • Build mentor relationships with students individually and in groups; address student complaints and problems respectfully
  • Identify areas for personal development; collaborate with faculty to continuously improve course offerings and student outcomes
  • Provide critical feedback to instructors on teaching effectiveness; conduct peer observations and faculty mentoring
  • Participate in evaluating and interviewing teaching candidates; contribute to committee membership and academic metrics reporting
  • Demonstrate excellent written and verbal communication, conflict resolution, and ethical conduct

Bachelor's Degree is required in Computer Science or Computer Engineering or Engineering Management.
SCHEDULE:
  • Exempt position
  • 40+ hours a week
  • Occasional evenings and weekends, with advanced notice

REPORTS TO: Vice President, Academics
LOCATION: On-site
PHYSICAL EXPECTATIONS:
  • Spending extended periods of time at the campus reception desk
  • Sitting for extended periods
  • Standing for extended periods
  • Lift and carry up to 30 pounds

Neumont University is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Neumont's Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school's policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.