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Machine Learning Intern Jobs in Farmington, CT (NOW HIRING)

Wesleyan University

CAPS Extern

Middletown, CT · On-site

$15.25 - $20.25/hr

Finally, CAPS offers a limited cognitive assessment program in which pre-doctoral trainees have the opportunity to conduct cognitive assessments with Wesleyan students suspected of having a learning ...

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Machine Learning Intern information

See Farmington, CT salary details

$27K

$45.2K

$93.3K

How much do machine learning intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning intern in Farmington, CT is $45,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What job categories do people searching Machine Learning Intern jobs in Farmington, CT look for? The top searched job categories for Machine Learning Intern jobs in Farmington, CT are:
What cities near Farmington, CT are hiring for Machine Learning Intern jobs? Cities near Farmington, CT with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Farmington, CT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,168 per year, or $21.7 per hour.

CAPS Extern

Wesleyan University

Middletown, CT • On-site

$15.25 - $20.25/hr

Part-time

Retirement, PTO

Re-posted 26 days ago

Job description

Wesleyan CAPS Extern Trainees will provide individual psychotherapy to college-aged students presenting with a full range of psychiatric difficulties.
The trainees will gain experience providing both long-term and time-limited therapy with this population. Additionally, they will regularly conduct clinical intake sessions which include comprehensive risk assessments. While individual therapy comprises the majority of the trainee's clinical hours, they also have the opportunity to co-lead clinical groups with the professional clinical staff. Group offerings change from semester to semester and year to year according to staff interest and availability. Trainees will also have the opportunity to participate in various outreach and education efforts presented by the office. Finally, CAPS offers a limited cognitive assessment program in which pre-doctoral trainees have the opportunity to conduct cognitive assessments with Wesleyan students suspected of having a learning disability.
This is an on-campus position.
Minimum Qualifications:
Master's level trainees.
Preferred Qualifications:
Doctoral students who will be in their 3rd through 5th years of training at the time of their placement.
Additional Applicant Instructions
Position is opened until filled. Applicants must upload a cover letter and resume.
Work Location: On Campus
All offers to external applicants are contingent on the candidate's completion of a pre-employment background check screening to the satisfaction of Wesleyan University.
Wesleyan University, located in Middletown, Connecticut, does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, political belief, veteran status, sexual orientation, genetic information or non-position-related criminal record. We welcome applications from women and historically underrepresented minority groups. Inquiries regarding Title IX, Section 504 or any other non-discrimination policies should be directed to Vice President for Equity and Inclusion, Title IX and ADA/504 Coordinator.
Wesleyan University complies with the Clery Act and maintains records of campus crime statistics and security policies. Copies of Wesleyan University's Clery Act Report are available on request and online at https://www.wesleyan.edu/publicsafety/clery.html.
Experience is taken into consideration in the determination of salary offers. For more information visit https://www.wesleyan.edu/hr/handbook/compensation-practices/index.html
Wesleyan offers a broad range of employee benefits and development opportunities, including comprehensive group insurance plans, wellness programs and incentives, generous paid time off and retirement plans, flexible work schedules, employee and dependent tuition programs for those who qualify.
Detailed information on the benefits of working at Wesleyan is located at: https://wesleyan.edu/hr/careers/prospective-resources.html.

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