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Machine Learning Engineer Intern Jobs in Wyoming

Meta

Critical Facility Engineer

Cheyenne, WY

$88K/yr

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Gordon Food Service

$126K - $171K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Experience working with artificial intelligence / machine learning platforms and practices. BE PART ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Wyoming

Machine Learning Engineer Intern information

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$24.5K

$40.9K

$84.6K

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

As of Jul 15, 2026, the average yearly pay for machine learning engineer intern in Wyoming is $40,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 the most commonly searched types of Machine Learning Engineer jobs in Wyoming? The most popular types of Machine Learning Engineer jobs in Wyoming are:
What cities in Wyoming are hiring for Machine Learning Engineer Intern jobs? Cities in Wyoming with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Critical Facility Engineer

Critical Facility Engineer

Meta

Cheyenne, WY

$88K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers.
Critical Facility Engineer Responsibilities:
  • Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business
  • Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
  • Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training
  • Provides technical expertise and assistance as required
  • Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies
  • Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults
  • Troubleshoot, evaluate and recommend system upgrades
  • Order parts and supplies for maintenance and repairs
  • Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards
  • Escalate issues to facility management appropriately and timely
  • Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service
  • Provide recommendation of improvements to the operations and maintenance program on an on-going basis
  • Required to work on a shift schedule, which may include nights and holidays
  • Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources

Minimum Qualifications:
  • 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience
  • Use hands and fingers
  • Reach/push/pull with arms/hands/shoulders
  • Stoop, kneel, crouch and crawl
  • Lift and/or otherwise move 45 pounds or more
  • Sit or stand at a workstation for extended periods of time
  • The candidate will need to be experienced in a broad range of industries such as electrical generation, electrical distribution, cooling technologies, building control and fire protection systems

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88,005/year to $124,010/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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