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Fall Machine Learning Co Op Jobs (NOW HIRING)

Oberg Industries

Co-Op

Freeport, PA · On-site

$25.25 - $32.75/hr

... machining services to many well-known companies around the world. Our passion is for precision ... Oberg Industries, Freeport and Sarver, PA facilities are looking to place CO-OP's for Fall 2024 and ...

Oberg Industries

Co-Op

Freeport, PA · On-site

$25.25 - $32.75/hr

... machining services to many well-known companies around the world. Our passion is for precision ... Oberg Industries, Freeport and Sarver, PA facilities are looking to place CO-OP's for Fall 2024 and ...

VEGA Americas

Engineering Co-Op - Fall 2026

Mason, OH

$16.50 - $21.50/hr

We have a Fall 2026 Co-Op opportunity in Engineering ! As a Co-Op, you will work as part of an engineering team assisting in both design and production support activities. As you develop as an ...

McKenney's Inc.

Fall 2026 IT Co-op*

Atlanta, GA · On-site

$14.50 - $19.25/hr

... Co-op rotations before graduation and should avoid a full courseload while working, which may delay graduation. * 1st Rotation: Fall 2026 * 2nd Rotation: Summer 2027 Knowledge, Skills, and Abilities:

McKenney's, Inc.

Fall 2026 IT Co-op

Atlanta, GA · On-site

$14.50 - $19.25/hr

... Co-op rotations before graduation and should avoid a full courseload while working, which may delay graduation. * 1st Rotation: Fall 2026 * 2nd Rotation: Summer 2027 Knowledge, Skills, and Abilities:

TECO

Engineer Co-op Fall 2026

Ruskin, FL · On-site

$15.75 - $20.50/hr

Engineer Co-op Fall 2026 Company: Tampa Electric Company State and City: Florida - North Ruskin ... Key Responsibilities and/or Learning Objectives * Review and analyze required codes, standards, and ...

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All JobsFall Machine Learning Co Op Jobs

Fall Machine Learning Co Op information

See salary details

$25.5K

$42.6K

$88K

How much do fall machine learning co op jobs pay per year?

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.
More about Fall Machine Learning Co Op jobs
What cities are hiring for Fall Machine Learning Co Op jobs? Cities with the most Fall Machine Learning Co Op job openings:
What states have the most Fall Machine Learning Co Op jobs? States with the most job openings for Fall Machine Learning Co Op jobs include:
What job categories do people searching Fall Machine Learning Co Op jobs look for? The top searched job categories for Fall Machine Learning Co Op jobs are:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Information Management - College Co-Op

Information Management - College Co-Op

Selective Insurance Company of America

Charlotte, NC • On-site

$21 - $24/hr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Key responsibilities

  • Develop, enhance, and support Data and Analytics solutions.

  • Provide production support for the solutions as needed.

  • Research new technology capabilities under the direction from existing team members.

Job description

About Us
At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview
Calling all college students! Planning to co-op during the fall 2026 semester? Apply today and kick off your career with Selective Insurance through a meaningful, hands-on co op experience aligned with your academic program.
Are you a motivated, self-directed student looking for an on-the-job learning opportunity while earning academic credit? Join Selective's Information Management department as a fall co op student, contributing to impactful projects that deliver business insights across underwriting, financial, customer, and claims operations while helping enhance customer service, strengthen data security, and gain real-world experience aligned with your coursework.
Please note: this is a remote co op position with the possibility of in-person days. Applicants must be within commuting distance of our Charlotte, NC location.
Responsibilities
  • Develop, enhance, and support Data and Analytics solutions
  • Provide production support for the solutions as needed
  • Research new technology capabilities under the direction from existing team members
  • Ensure adherence to IT standards and best practices
  • Collaborate effectively with team members and communicate clearly to support business processes and resolve issues

Qualifications
Knowledge and Requirements
  • Must be a current college student majoring in Computer Science or a related field to qualify (rising seniors, preferred).
  • Must be enrolled in, or plan to enroll in, an accredited internship or co-operative education course during the fall 2026 semester
  • Basic to intermediate experience with object-oriented programming languages such as Python, C#, Java, or similar
  • Strong analytical, critical-thinking, and problem-solving skills, with an interest in applying technology to real-world business challenges
  • Demonstrated interest in Data, Analytics, and AI, through relevant coursework, academic projects, or hands-on experience (e.g., data analytics, machine learning, or AI concepts/tools)
  • Demonstrate an interest in learning about the insurance industry

Education and Experience
  • Currently enrolled in a college/university pursuing a bachelor's degree in computer science or related field.

Total Rewards
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
Pay Range
USD $21.00 - USD $24.00 /Hr.
Additional Information
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
For Massachusetts Applicants
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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