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

Mpr Associates, Inc.

Summer/Co-op Engineer

East Lyme, CT · On-site

$1.0K - $1.4K/wk

... machine learning, quality assurance, and process development)) * Capital Project Management and ... Attention to detail Positions are available during the spring, summer, and fall semesters in our ...

Precision Castparts Corp.

Engineering Co-Op

Groton, CT · On-site

$16.75 - $21.75/hr

These increasingly challenging assignments will provide foremost an effective learning assignment ... co-op experience. * Will identify and recommend process improvements for specified projects.

New

Reworld

CO-OP Intern

Portland, CT · On-site

$15.25 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About the role As a Reworld CO-OP, you will work on projects that have a real impact on ... It is expected that most qualified candidates in this location will fall within the posting range.

Reworld

CO-OP Intern

Portland, CT · On-site

$15.25 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About the role As a Reworld CO-OP, you will work on projects that have a real impact on ... It is expected that most qualified candidates in this location will fall within the posting range.

Reworld

CO-OP Intern

Portland, CT · On-site

$15.25 - $20.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About the role As a Reworld CO-OP, you will work on projects that have a real impact on ... It is expected that most qualified candidates in this location will fall within the posting range.

Dick's Sporting Goods

Data Engineering Co-Op

Enfield, CT · On-site

$40/hr

Learning how to contribute to a CI-driven, scaled engineering organization. * Mentorship from other GC engineers to guide you through the experience. * Great people, awesome product, and lots of fun ...

Arcadis

Water Engineer Intern

Middletown, CT

$23.75 - $35.62/hr

  • Retirement

We are currently seeking a Water Engineer Co-Op or Intern to join our Water Business Line in our Middletown, CT office in Fall 2026. We work to protect our natural environment and water resources ...

Arcadis

Water Engineer Intern

Middletown, CT · On-site

$23.75 - $35.62/hr

  • Retirement

We are currently seeking a Water Engineer Co-Op or Intern to join our Water Business Line in our Middletown, CT office in Fall 2026. We work to protect our natural environment and water resources ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Connecticut

Fall Machine Learning Co Op information

See Connecticut salary details

$24.3K

$40.5K

$83.7K

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

As of Aug 17, 2026, the average yearly pay for fall machine learning co op in Connecticut is $40,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

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.

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.

What are popular job titles related to Fall Machine Learning Co Op jobs in Connecticut?

For Fall Machine Learning Co Op jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Connecticut look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Connecticut are:

What cities in Connecticut are hiring for Fall Machine Learning Co Op jobs?

Cities in Connecticut with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $40,509 per year, or $19.5 per hour.

Co-op IT AI Developer

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT • On-site

$20 - $33/hr

Other

Posted 3 days ago

New

Job description

Compensation Data
This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here.
Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our IT Marketing and Sales, Data Driven Customer Insights team located at our Ridgefield, CT facility. As an Intern, you will collaborate with a highly skilled team of engineers, data scientists, and business stakeholders to develop, test, and deploy cutting-edge AI solutions that drive innovation and efficiency across our organization. Specifically, you will help to improve efficiency of Agentic AI systems to generate accurate and business specific insights from structured, unstructured, and multi-modal data.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
  • Learn to work on Boehringer's existing GenAI and Agentic AI infrastructure to implement new projects
  • Interact with business stakeholders to understand project requirements and translate that to technical requirements
  • Develop quick PoCs and test to validate new ideas/project requirements
  • Study recent GenAI specific works and research ideas and propose such ideas to the team to either improve the efficiency existing systems or to solve new requirements
  • Present the work to the stakeholders including IT and Business representatives

Requirements
  • Must be a current undergraduate, graduate or advanced degree student in good academic standing.
  • Student must be enrolled at an accredited college or university for the duration of the internship/co-op.
  • Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred.
  • Major or minor in related field of internship/co-op.
  • Undergraduate students must have completed at least 12 credit hours at current college or university.
  • Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Eligibility Requirements :
  • Must be legally authorized to work in the United States without restriction.
  • Must be willing to take a drug test and post-offer physical (if required).
  • Must be 18 years of age or older.

Desired Skills, Experience and Abilities
    • Currently pursuing a bachelor's or graduate degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field
    • Good understanding of topics such as LLM, Knowledge Graph, RAG, GraphRAG, and Agentic AI
    • Proficiency in Python and familiarity with libraries such as LangChain, LangGraph, Scikit-learn, TensorFlow, or PyTorch
    • Excellent analytical, problem-solving, and communication skills
    • Ability to work independently and in a collaborative team environment
    • Understanding machine learning and deep learning techniques is a plus
    • Prior experience in AWS or other enterprise software development environment is desired

Apply