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Machine Learning Co Op Jobs in Virginia (NOW HIRING)

... in each, learning the different processes. Ideally, at the end of your first year, you will be ... machine or pulp mill area, preferably in a process engineering role (can be combination of Co-Op ...

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... You will co-author research proposals, execute studies, and present findings to DoW sponsors and at ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... You will co-author research proposals, execute studies, and present findings to DoW sponsors and at ...

Experience in a process engineering role (2+ years experience, or combination of co-op / internship ... paper machine, chemical engineer, paper science, chemical engineering, steam, recaust, power ...

Apply machine learning, statistical modeling, and AI techniques to large-scale datasets ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Apply machine learning, statistical modeling, and AI techniques to large-scale datasets ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Apply machine learning, statistical modeling, and AI techniques to large-scale datasets ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

... learning initiatives • Support development environment setup, configuration, and dependency management Qualifications : Required : • 1-3 years of web development experience (internship, co-op, or ...

Leverage knowledge of a variety of statistical and machine learning techniques and methods to ... co-workers, management, and customers, which may involve delivering presentations. MANTECH ...

Leverage knowledge of a variety of statistical and machine learning techniques and methods to ... co-workers, management, and customers, which may involve delivering presentations. MANTECH ...

Implement automated machine learning pipelines and MLOps practices for continuous integration and ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

Implement automated machine learning pipelines and MLOps practices for continuous integration and ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

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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:
Environmental/Health/Safety, Facilities, & Maintenance Intern - US - Summer 2027 - Returning Stud...

Environmental/Health/Safety, Facilities, & Maintenance Intern - US - Summer 2027 - Returning Stud...

General Electric Company

Sterling, VA • On-site

$24/hr

Full-time

Posted 3 days ago


Job description

Job Description SummaryAre you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.Job Description

Job Summary

Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern/co-op! You'll build leadership and technical skills in a supply chain/manufacturing role, working on challenging, real-world problems and solve for what the world needs. You will build relationships with interns/co-ops and leaders, and you'll prepare for a potential full-time position after graduation in one of our fantastic leadership programs or direct hire opportunity.

You'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Willingness and ability to work in any of the 35+ GE Aerospace U.S. locations.

Essential Responsibilities

EHS stands for Environment, Health, and Safety. On this track you can also be involved in Facilities and Maintenance. In this role you will be responsible for any workforce efforts to protect the health and safety of GE Aerospace employees, the public, as well as the environment from hazards. This may include industrial hygiene, hazard assessments, risk abatement, environmental (wastewater management, hazard/non-hazard waste disposal, air regulations, compliance with regulatory agencies) Ergonomics, and addressing safety concerns. In this role you will be understanding our EHS management systems and framework. Coach employees and teams to develop a sustainable process and structure to meet all EHS requirements. Sustainability efforts as it relates to wastewater and air in our manufacturing processes. Occupational health and wellness. This is a great opportunity for an individual interested in our OMLP program after graduation.

Qualifications/Requirements:

  • Prior GE Aerospace internship experience required
  • Minimum 3.0 cumulative G.P.A. on a 4.0 scale
  • Attending a full-time registered and nationally accredited bachelor or graduate program (accepted majors are listed below)
  • Willingness and ability to work in any of the 35+ GE Aerospace U.S. locations
  • Reliable transportation, as many of our sites do not have public transportation available

Degrees Accepted:

  • Chemical Engineering
  • Environmental Health and Safety or related
  • Environmental Engineering
  • Industrial Engineering
  • Facilities / Maintenance
  • Occupational Safety and Health

Or any relevant or similar major to the ones above

Eligibility Requirements:

Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Desired characteristics:

  • Humble: respectful, receptive, agile, eager to learn
  • Transparent: shares critical information, speaks with honesty, contributes constructively
  • Focused: quick learner, strategically prioritizes work, committed, and takes initiative
  • Leadership ability: strong communicator, decision-maker, collaborative teamwork
  • Problem solver: analytical-minded, challenges existing processes, critical thinker
  • Comfortable working in a fast-paced shop floor environment around various machine tools and equipment
  • Preference will be given to those with prior internship, co-op or military experience in manufacturing/supply chain or engineering
  • Demonstrated commitment to community and/or university involvement

Benefits:

Pay rates for this position begin at $24/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

Equal Opportunity Employer:

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes