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Machine Learning Co Op Jobs in Virginia (NOW HIRING)

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

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Machine Learning Co Op information

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$7

$22

$56

How much do machine learning co op jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for machine learning co op in Virginia is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $25.72 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

Which 3 jobs will survive AI?

Machine Learning Co-ops are likely to find that roles requiring complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethics specialists, and human-centered design professionals—will persist alongside AI advancements. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and critical thinking.

Which 5 jobs will survive AI?

Machine Learning Co-ops are likely to continue working in roles that require complex problem-solving, creativity, and human judgment, such as data analysis, AI system development, and research. Jobs that involve interpersonal skills, strategic decision-making, and tasks requiring emotional intelligence are also less susceptible to automation. Skills in critical thinking, domain expertise, and adaptability will help professionals remain relevant as AI advances.

Is ML a high paying job?

Machine Learning Co-ops are typically paid internships that offer competitive hourly wages or stipends, which can vary based on location, education level, and company size. Entry-level roles in machine learning often have higher starting salaries compared to many other tech internships, and full-time positions in the field tend to have above-average salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow or PyTorch.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.
What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Co Op jobs? Cities in Virginia with the most Machine Learning Co Op job openings:

Intern - Applications, AI and Machine Learning (Fall 2026) (ET26021)

TMEIC Corporation Americas

Roanoke, VA

Temporary

Posted 25 days ago


Job description

Job # ET26021

Job Title  Intern - Applications, AI and Machine Learning

Office Location Roanoke, VA preferred

Business/Department   Energy and Infrastructure Solutions / Operations

Sales Territory, if applicable        

General Role Description

Provide software design support for data analytics and technical support for business data solutions for information technology projects that meet client needs and fulfill project requirements

Role Accountabilities

- Gather pertinent information from authorized sources to assess project requirements as related to assigned scope of work

- Create and document computer-based software modules to meet functionality and work progress targets, as directed, at prescribed design checkpoints

- Recommend improvements to test procedures to better identify where software does not meet all project requirements for

assigned scope of work

- Design, build, and deploy artificial intelligence/machine learning systems and applications that solve complex business problems

- Develop dashboards based on business requirements following industry best practices and approved methodologies

- Identify key trends and patterns via analysis of internal and external data associated with the performance of the company

and report to manager

- Design, implement, test, deploy and document system configurations including data analytics structures, visualizations

and dashboards to meet project requirements

- Verify data accuracy, quality and integrity when sourcing and curating data from the Company's business systems into data

models

- Provide technical consulting to users regarding applications and development

- Ensure completion of assignments within the defined scope, quality, and time

- Provide regular, accurate and considered status reports to parties deemed appropriate to the situation

General Employee Accountabilities

- Bring full effort to bear on tasks assigned by manager

- Give manager best advice

- Give earliest notice when work cannot be delivered as specified

- Cooperate and collaborate with peers and interact cross-organizationally as specified by manager

- Exemplify Company Core Values: Integrity, Client Focus, Team Orientation, and Personal Commitment

- Comply with all Company policies, practices, and procedures and all regulations and laws

- Recommend viable improvements proactively

- Ensure effective utilization of business tools and processes

Requirements

Minimum Qualifications

  • High school diploma
  • Enrolled in Bachelor of Science in Computer Science, Data Science or Mathematics program, or related field, with related coursework
  • Classes, labs and projects with concentration in some combination of data analysis, data analytics structures, data preparation, ETL processes or data visualization
  • Demonstrated problem solving skills
  • Demonstrated successful working relationships with others in educational or employment setting
  • Demonstrated successful and positive personal leadership, interpersonal, organizational, administrative, and communication skills
  • Proficiency in MS Office suite
  • Availability to travel domestically, up to 5%, sometimes with limited notice
  • Visa sponsorship not available for this position
  • This is not a benefits eligible position

Preferred Qualifications

- Bachelor of Science in Computer Science, Data Science or Mathematics

- Enrolled in Master of Science in Computer Science, Data Science or Mathematics

- Working knowledge of Oracle data analytics tools

- Work experience as a research assistant, intern, or co-op in the above areas

Link to TMEIC Corporation Americas website:  https://www.tmeic.com/.  To be considered an applicant for any available positions, individuals must complete an online job application for each posting.  A resume may be attached to the online application but is not considered a substitute for the information in the application.  Applications will be considered only for the specific position for which the application is submitted.

EEO/AA/M/F/Vet/Disability Employer