ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Connecticut (NOW HIRING)

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

Middlesex Health System

Pharmacy Intern

Middletown, CT · On-site

$17 - $21/hr

Middlesex Health promotes a positive learning environment for students to begin establishing their ... Fills unit dose labels, floor stock requests, Team A kits and Pyxis machines utilizing pharmacy ...

Marmon

Facilities/Maintenance Intern

East Granby, CT

$16.75 - $21.75/hr

As an intern in our comprehensive summer program, you will gain substantial personal learning and ... machine areas, storage warehouses and outside storage spaces, shipping & receiving areas, parking ...

BHCARE INC

INTERN-UCDVS/COURT/FJC

New Haven, CT · On-site

$15 - $20/hr

These internships provide hands-on learning in a supportive, trauma-informed environment while ... Internship Areas & Learning Opportunities Intern placements may include experience in one or more ...

BHcare Inc.

INTERN-UCDVS/COURT/FJC

New Haven, CT

$15 - $20/hr

These internships provide hands-on learning in a supportive, trauma-informed environment while ... Internship Areas & Learning Opportunities Intern placements may include experience in one or more ...

Fellowship of Christian Athletes

Intern

Fairfield, CT · On-site

$15.25 - $20.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Sanders Industries Holdings

Intern - Sales

Bloomfield, CT · On-site

$19.86 - $23/hr

... learning. The internship will include a robust onboarding program, provide opportunities for ... machinery and chemicals, along with the ability to lift light parts, up to 20 pounds. The ability ...

MDC

College Intern -Forestry

Winsted, CT · On-site

$15 - $19.75/hr

Forestry Intern The Metropolitan District is a non-profit municipal corporation chartered by the Connecticut General Assembly in 1929 to provide potable water and sewerage services on a regional ...

next page

Showing results 1-20

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Connecticut

Machine Learning Intern information

See Connecticut salary details

$24.3K

$40.5K

$83.7K

How much do machine learning intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning intern 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 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 are the most commonly searched types of Machine Learning jobs in Connecticut? The most popular types of Machine Learning jobs in Connecticut are:
What are popular job titles related to Machine Learning Intern jobs in Connecticut? For Machine Learning Intern jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Connecticut look for? The top searched job categories for Machine Learning Intern jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Intern jobs? Cities in Connecticut with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Connecticut as of May 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,509 per year, or $19.5 per hour.
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

Posted 9 days ago

Job description

Job Description
JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together.
The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.
Responsibilities
  • Develop and maintain AI-powered software features, prototypes, and internal tools.
  • Write clean, efficient, and well-documented code in Python or another modern programming language.
  • Integrate large language models and AI APIs into applications, workflows, or backend services.
  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.
  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.
  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.
  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.
  • Participate in code reviews, unit testing, documentation, and deployment activities.
  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.
  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.
  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications
  • Currently pursuing a Bachelor's or Master's degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.
  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.
  • Experience building software projects, APIs, applications, automation scripts, or backend services.
  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications
  • Experience with generative AI tools, LLM APIs, or AI application frameworks.
  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks
  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns
  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector
  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation
  • FastAPI, Flask, Node.js, React, or similar application frameworks
  • Docker, CI/CD, cloud platforms, or basic DevOps workflows
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.
  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You'll Learn
  • How to build real-world generative AI applications and AI-powered developer tools.
  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.
  • How to design AI agent workflows using tools such as LangGraph and related frameworks.
  • Best practices for writing production-quality code for AI applications.
  • How to test and improve AI system reliability, accuracy, and performance.
  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.
  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer.
Job Requirements

Apply