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Machine Learning Engineer Intern Jobs in Fort Collins, CO

Chevron

2026-2027 Wells Engineering Intern

Greeley, CO · On-site

$9.7K/mo

Greeley, Colorado Wells Engineering Intern - Wells engineering internships consist of actual ... Formal training + onthejob learning * Mentorship from experienced professionals * Multiple job ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO · On-site

$100K - $190K/yr

Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Fort Collins, CO

Machine Learning Engineer Intern information

See Fort Collins, CO salary details

$25.2K

$42.2K

$87.1K

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

As of Sep 6, 2026, the average yearly pay for machine learning engineer intern in Fort Collins, CO is $42,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 are popular job titles related to Machine Learning Engineer Intern jobs in Fort Collins, CO?

For Machine Learning Engineer Intern jobs in Fort Collins, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Fort Collins, CO look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Fort Collins, CO are:

What cities near Fort Collins, CO are hiring for Machine Learning Engineer Intern jobs?

Cities near Fort Collins, CO with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Fort Collins, CO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,151 per year, or $20.3 per hour.

2027 Feed Yard Intern

Five Rivers Cattle Feeding

Johnstown, CO • On-site

Internship

Posted 20 days ago

Job description

JOB TITLE: Feed Yard Intern

REPORTS TO: Department Manager (as assigned)

FLSA STATUS: Hourly, Ag-exempt

FUNCTION: Learns and performs the daily operation of feed mill, feeding department, cattle department, and yard operations for completion of the internship. Performs the following duties:

ESSENTIAL DUTIES AND RESPONSIBILITIES:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.

  • Internship rotation through Mill and Feeding, Cattle and Yard Operations. Duties will vary based on internship parameters and fulfilling the needs of the feed yard.

  • Complies with applicable OSHA, FDA, and EPA regulations; maintains appropriate compliance records.

  • Sets a positive example by modeling safe work practices and following safety rules and policies.

  • May participate in department meetings and special projects as they apply to the internship for the benefit of Five Rivers.

QUALIFICATIONS:

  • In progress: Undergraduate degree in a related field.

  • Knowledge of Word Processing software; Spreadsheet software and Database software.

  • Valid drivers license.

  • Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals.

  • Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

  • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.

  • Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

COMPETENCY:

Expected to coordinate projects, manage difficult or emotional employee situations, participate in meetings, understand business implications of decisions, work within the approved budget, develop and implement cost-saving measures, conserve organizational resources, demonstrate knowledge of EEO policy, adapt to changes in the work environment, exhibit sound, and accurate judgment, observe safety and security procedures, and report potentially unsafe conditions.

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly exposed to airborne particles. The employee is frequently exposed to work near moving mechanical parts and outdoor weather conditions. The noise level in the work environment is usually loud. The employee is frequently required to climb or balance and is exposed to work in high, precarious places.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee is required to adhere to the department demands as assigned, i.e. Mill: wear hardhat; eye, ear, and respiratory protection daily. Frequently to Occasionally the employee is required to push/pull, reach, bend, run, sit, stand, jump, climb, squat, kneel, lift, carry, twist, grasp/squeeze. Working with or near cattle, horses, vehicles, and equipment in all weather conditions.

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