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Fall Machine Learning Co Op Jobs in Virginia (NOW HIRING)

... Co-ops (Multiple Openings for Fall 2026) at our Gladstone, VA. Paper Mill. Responsible for ... co-op begins and express interest in Pulp and Paper Manufacturing as a career. A minimum grade ...

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Fall Machine Learning Co Op information

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
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Infographic showing various Fall Machine Learning Co Op job openings in Virginia as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Temporary. Highlights an 100% In-person job distribution.
Fall 2026 Process Engineer Co-op (Covington, VA)

Fall 2026 Process Engineer Co-op (Covington, VA)

Ingevity

Covington, VA

Full-time

Posted 27 days ago


Ingevity rating

7.7

Company rating: 7.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

46th of 91 rated chemical manufacturers


Job description

Job Family Group:

Engineering

Are you ready to do something remarkable? Ready to collaborate with an incredible team to solve problems that improve people's lives? Meet Ingevity.

At Ingevity, we develop innovations that purify, protect and enhance the world around us. Our products enable oil to flow better, crops to grow fuller, roads to last longer and ensure that the air we all breathe is cleaner.

Our people come from all different backgrounds and help reimagine new possibilities daily. We understand there is no challenge too big and no contribution too small. We seek out new ideas for tackling complex problems and celebrate achieving the improbable. We value each person's unique talents and synergize them to create meaningful impact and sustainable solutions for our customers and our world.

Bold. Energetic. Ingenious. Genuine. If these qualities describe you, we'd love for you to join Ingevity!

In Ingevity's Engineering Co-op program, you'll have the unique opportunity to apply your problem-solving and technical skills to increase safety, efficiency, reliability and productivity in our manufacturing environments. You'll have the chance to tackle real world, value-added projects that support production and project engineering throughout a plant. In this role, safety and teamwork are key as you innovate and improve processes and troubleshoot problems.

Ingevity's Engineering Co-op is structured around two-three rotations ranging in average length from three-six months per term. Each Co-op term is typically separated with an academic term in between to allow for mutual learning and application of engineering concepts both to your academic and real-world learning. Candidates who apply should be available for multiple terms and should consult with their academic advisor on their availability and ability to participate in such a program.

Ingevity's co-ops are on-site full-time positions and participants should expect to work Monday-Friday, up to 40 hours per week typically between 8AM-5PM. Specific norms around working hours may vary based on occasional project assignments and will be communicated by your manager.

Ingevity is hiring a Fall 2026 co-op for the Covington, Virginia location.

Anticipated start dates for Ingevity's co-ops are within the following periods:

  • Fall 2025:August/September

What will you gain in the Engineering Co-op Program?

  • Hands on engineering experience in the chemical and materials manufacturing industry with focuses in process/project and production engineering.
  • Experience solving complex technical challenges with a diverse team
  • Developmental and mentorship opportunities with technical and industry experts
  • Develop invaluable project leadership skills
  • Network with industry leaders throughout the organization
  • Learn about diverse and exciting career opportunities across Ingevity's lines of business
  • Housing assistance is available for eligible candidates who would be relocating more than 50 miles from their primary residence

What you need to succeed:

  • Students currently enrolled in a bachelor's degree granting program with a major in Engineering with an expected graduation date from May 2027 to May 2028 (or academic sophomore or junior).
  • Students should have completed at least onesemester/quarter/trimesterof engineering coursework related to their major before starting as a co-op and at least onesemester/quarter/trimesterof study left in their academic coursework following the co-op.
  • Students available to complete at least two co-op terms with one semester of study in between (i.e. co-op in Summer, go back to school in Fall and return to co-op in Spring)
  • Remain in good academic standing in your program of study throughout the co-op experience

This role is not eligible for employment visa sponsorship. The successful candidate must not now, or in the future, require sponsorship to work in the US.

Preferred Qualifications:

  • Previous internship(s), work experience, or academic/club leadership experience
  • Experience in a manufacturing or operations environment
  • Bachelor's degree majors in Chemical or Mechanical Engineering
  • Availability to complete three co-op rotations each separated by a semester of study in between

Ingevity is a company made up of extraordinary people of every race, religion and background, all worthy of the same dignity. Our differences are one of our great strengths. Join us in building a culture of increasing diversity and respect - a culture where everyone belongs.

Ingevity is an Equal Opportunity Employer, Minorities/Women/Veterans/Disabled.

Recruiting Agencies: Ingevity does not accept unsolicited resumes and therefore, will not be responsible for any fees associated with unsolicited resumes.


Ingevity logo

About Ingevity

Sourced by ZipRecruiter

At Ingevity, we develop innovations that purify, protect and enhance the world around us. Our products enable oil to flow better, crops to grow fuller, roads to last longer and ensure that the air we all breathe is cleaner.

Industry

Chemical manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Charleston, SC, US

Year founded

1846

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