1

Machine Learning Engineer Intern Jobs in Laramie, WY

Engineering Intern

Laramie, WY ยท On-site

$17 - $22/hr

Job Title Engineering Intern Job Type Internship Location Laramie, WY US (Primary) Sheridan, WY US ... Follows all safety procedures and company policies. 2. Technical Learning and Task Execution:

Showing results 21-40

Machine Learning Engineer Intern information

See Laramie, WY salary details

$25.7K

$42.9K

$88.7K

How much do machine learning engineer intern jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning engineer intern in Laramie, WY is $42,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Laramie, WY look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Laramie, WY are:

Infographic showing various Machine Learning Engineer Intern job openings in Laramie, WY as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,927 per year, or $20.6 per hour.

Engineering Intern

Trihydro Corporation

Laramie, WY โ€ข On-site

$17 - $22/hr

Part-time, Internship

Retirement

Re-posted 4 days ago


Job description

Job Title
Engineering Intern
Job Type
Internship
Location
Laramie, WY US (Primary)
Sheridan, WY US
Category
Engineering
Minimum Education Required
Not Applicable
Career Level
Entry Level
Job Description
Job Summary:
As a paid engineering intern, you will gain valuable experience in the civil engineering industry. Your responsibilities will vary with the projects and work in progress at the time of the internship, but may include assisting with civil infrastructure project development, design calculations, modeling, technical research, and plans and figures development. Candidates may also support other office activities (e.g., preparing spreadsheets, reviewing data, preparing presentations, technical training, and writing reports). This is a temporary, non-benefited internship position.
This is a part-time, non-benefited, internship position with flexible hours to accommodate your academic schedule. We're looking for motivated junior or senior students currently pursuing degrees in engineering, or related fields.
Qualifications:
  • Currently enrolled as a junior or senior in a Civil Engineering related field
  • Strong organizational, analytical, and communication skills
  • Ability to work independently and problem solve with guidance from supervisors
  • Interest in pursuing a career in the engineering and environmental consulting industry

Performance Metrics:
Interns will focus on the following key performance areas during their internship:
1. Safety, Compliance, and Standards:
  • Performs work in accordance with applicable regulations, professional standards, and internal guidance. Follows all safety procedures and company policies.

2. Technical Learning and Task Execution:
  • Performs assigned technical tasks under supervision using established procedures and guidance. Demonstrates attention to accuracy, completeness, and quality in assigned work.

3. Project Participation:
  • Learns project workflows, documentation standards, and internal processes. Communicates progress, questions, and issues to supervisors or project leads.

What We Offer:
  • Industry-leading 401(k) retirement plan, including a 6% discretionary match
  • Opportunities for professional development and career growth
  • A collaborative and inclusive work environment
  • Mentoring and opportunities for professional advancement
  • Best-in-class safety culture

This position will remain open until a qualified candidate has been selected.
Trihydro is an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or because of a protected Veteran status.