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

Mechanical Design Engineer

Deep River, CT · On-site

$76K - $103K/yr

Support full machine design lifecycle from concept through build, test, and release * Collaborate ... co-op experience considered) * Proficiency in SolidWorks and CAD design tools required * Strong ...

Apply Early

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Full Stack Java Developer

Manchester, CT · On-site

$53.50 - $69.25/hr

... Machine Learning engineers. Who Should Apply Recent Computer science/Engineering /Mathematics ... fall into the below categories. Candidates who Lack Experience or are freshers with No actual on ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

... co-op, or project experience in product development, machine design, or structural design Exposure to thermal systems, heat transfer, or materials behavior Familiarity with CAD software (Inventor ...

Own retailer agreements, co-op contracts, vendor MSAs, and supplier agreements across domestic and ... Learning & Development : Professional development encouraged and opportunities provided annually.

Apply Early

Own retailer agreements, co-op contracts, vendor MSAs, and supplier agreements across domestic and ... Learning & Development : Professional development encouraged and opportunities provided annually.

Mechanical Engineer

Danbury, CT · On-site

$95K - $105K/yr

... co-op, or project experience in product development, machine design, or structural design • Exposure to thermal systems, heat transfer, or materials behavior • Familiarity with CAD software ...

Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ... Laboratory experience gained through undergraduate research, internships, co-op programs, or ...

Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that ... Laboratory experience gained through undergraduate research, internships, co-op programs, or ...

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Showing results 1-20

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 Jul 1, 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 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.

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:
Infographic showing various Fall Machine Learning Co Op job openings in Connecticut as of June 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,509 per year, or $19.5 per hour.
Mechanical Design Engineer

Mechanical Design Engineer

Colanar

Deep River, CT • On-site

$76K - $103K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Be an early applicant


Key responsibilities

  • Design 3D models, assemblies, and detailed manufacturing drawings using SolidWorks CAD software.

  • Participate in hands-on assembly, machine builds, and troubleshooting activities on the floor.

  • Support full machine design lifecycle from concept through build, test, and release.


Job description

Colanar, an Addtronics company, specializes in advanced liquid filling systems and automated handling systems for the Life Sciences industries, including Pharma and Biotech applications, Contract Manufacturing, and Compound Pharmacies. We service a global customer base.

We are dedicated to providing new and innovative solutions to our customers in the Life Science industries, both in our product offerings as well as our consulting and engineering services. Our continued focus on customer needs and our ability to react swiftly and cost-efficiently, while remaining customer oriented, ensures a successful relationship with our customers.

Sponsorship not Provided

No Relocation Provided

Position Summary:

Colanar is seeking a hands-on, detail-oriented Mechanical Design Engineer to support the design, development, and build of automated pharmaceutical filling and packaging equipment. This role is ideal for an engineer who enjoys both design work and practical, on-the-floor involvement with machine assembly, testing, and troubleshooting.

The ideal candidate is not just a CAD designer, but a builder and problem solver who can work across multiple projects, adapt to shifting priorities, and contribute directly during fabrication, assembly, and Factory Acceptance Testing (FATs). This role offers strong growth potential into either a technical specialist path or a leadership/management track.


Essential Functions and Responsibilities:

  • Design 3D models, assemblies, and detailed manufacturing drawings using SolidWorks CAD software

  • Develop and update change parts, subassemblies, and machine components for automation systems

  • Support full machine design lifecycle from concept through build, test, and release

  • Collaborate with electrical engineering, controls, project management, and manufacturing teams

  • Participate in hands-on assembly, machine builds, and troubleshooting activities on the floor

  • Support Factory Acceptance Testing (FATs) and customer-facing equipment demonstrations

  • Work with vendors to select components, manage design constraints, and resolve manufacturing challenges

  • Prepare and maintain engineering documentation including BOMs, part lists, and technical drawings

  • Ensure designs comply with cGMP, FDA, ISO, and internal quality standards

  • Participate in design reviews and contribute to continuous improvement initiatives

  • Assist in prioritizing and managing multiple engineering projects simultaneously

  • Provide practical engineering input based on manufacturability and real-world application

  • Maintain accuracy and revision control using SolidWorks PDM or similar systems

This job description is not designed to cover or contain a comprehensive listing of activities,

duties or responsibilities that are required of the employee for this position. Duties,

responsibilities, and activities may change at any time with or without notice.

Qualifications Desired:

  • Bachelor’s degree in Mechanical Engineering or related field (Biomedical Engineering acceptable)

  • 2–3 years of experience preferred (internship or co-op experience considered)

  • Proficiency in SolidWorks and CAD design tools required

  • Strong understanding of mechanical systems, materials, and manufacturing processes

  • Familiarity with GD&T and engineering drawing standards

  • Basic understanding of automation systems, machine design, or robotics preferred

  • Hands-on mindset with willingness to work directly on equipment and assemblies

  • Strong problem-solving, analytical thinking, and mechanical intuition

  • Ability to manage multiple projects and shifting priorities

  • Strong communication and collaboration skills

  • Comfortable working in a fast-paced engineering and manufacturing environment

Nonessential Skills and Experience:

  • Experience with SolidWorks PDM or other PLM systems

  • Exposure to pharmaceutical, biotech, or regulated manufacturing environments

  • Familiarity with controls systems (not required but helpful)

  • Prior experience with machine building, automation, or OEM equipment

  • Experience supporting FATs or customer-facing engineering activities

  • Exposure to continuous improvement or lean manufacturing principles

Physical demands and work environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Physical demands: While performing the duties of this job, the employee is frequently required to stand; walk; sit; use hands to finger, handle or feel objects; reach with hands and arms; lift and carry items up to 50 pounds; climb stairs; balance; stoop and/or kneel.

  • Work Environment: This position primarily operates within a controlled cleanroom and light manufacturing environment supporting Life Sciences and pharmaceutical-related products. Employees are required to follow strict gowning, cleanliness, contamination-control, and documentation procedures to maintain compliance and product integrity. Work may involve exposure to cleaning agents and production materials. Noise levels may range from low to moderate depending on production activity. Safe work practices and adherence to OSHA regulations, company safety policies, cleanroom standards, and customer-specific requirements are expected at all times.

Position Classification 

This is a full-time, exempt salaried position. Depending on the needs of the business, the ability to work more than 40 hours/week and/or weekends may be required. Overtime will not be paid for hours worked over 40 hours/week.

Benefits & Time Off

We offer a competitive benefits package that may include medical, dental, vision, 401(k), paid time off, paid holidays, and professional development opportunities. Benefits eligibility may vary based on employment status and location.

EEO Statement  

It is the policy of Addtronics, LLC to provide equal employment opportunities to all persons.  In accordance with anti-discrimination laws, it is the purpose of this policy to effectuate these principles and mandates.  Addtronics prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations.