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

Rebounz

Digital Marketing Intern

New York, NY · On-site

We combine machine learning, creative exploration, and virtual reality to provide a solution that helps people bounce back at the most efficient ways. The Intern will work directly with chief digital ...

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Citadel

Software Engineer - Intern (US)

Greenwich, CT · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

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Showing results 41-60

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Norwalk, CT

Machine Learning Intern information

See Norwalk, CT salary details

$25.6K

$42.8K

$88.5K

How much do machine learning intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning intern in Norwalk, CT is $42,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 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 Norwalk, CT look for? The top searched job categories for Machine Learning Intern jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Machine Learning Intern jobs? Cities near Norwalk, CT with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Norwalk, CT as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,830 per year, or $20.6 per hour.

Digital Marketing Intern

Rebounz

New York, NY • On-site

Part-time

Re-posted 5 days ago

Job description

Company Description

Rebounz is a start-up with a mission to instill hope in people when they are at the abyss of self doubt, self worth, grief, or uncertainty. We combine machine learning, creative exploration, and virtual reality to provide a solution that helps people bounce back at the most efficient ways.

Job Description

The Intern will work directly with chief digital strategist and chief innovation officer to develop and execute many digital marketing campaigns. The Interns is expected to predominantly work with social media content generation & engagement. Additionally, the intern will also help with email marketing campaign creation & execution, and blogger research.

Period: Feb, 2017 - May, 2017 (12 weeks) (Exact date is TBD)
Part-time (24 hours per week)
Compensation: Performance based
Performance matrix: Kickstarter pledge

Responsibilities

Social Media Content Generation and Engagement (around 17-18 hours/ week)
1. Research effective and efficient content creation platforms
2. Select content creation platform based on the research
3. Create and publish content in Facebook, Twitter, Instagram
        Facebook content should be published thrice a day
        Twitter content should be published 6 times a day
        Instagram content should be published thrice a day
        Content should be personalized for each medium
        Learn and operate Hootsuite or other social media automation tool
4. Engage people with comments, likes etc. in own content
5. Engage people with comments on other's content
6. Engage people by sharing our blogposts in social media and other blogging sites such as
Medium.com (There is no expectation from the intern to write blogs)

Email Marketing Campaign (around 5-6 hours/ week)
1. Understand SumoMe and execute it on our website
2. Research and select email marketing tool such as mailchimp
3. Develop weekly email idea and create design requirements for 16 weeks
4. Research industry practices for successful email marketing campaigns
5. Research and suggest 3 giveaway campaigns to collect email ids

Blogger & Industry expert Research (1-2 hours/ week)
1. Identify bloggers who work within mental health space
2. Research to estimate blogger followers
3. Identify each blogger's interest and draft initial email for each blogger describing why it's worth
covering Rebounz
4. Identify Industry experts who work within mental health space
5. Research to estimate followers of Industry experts
6. Identify each expert's interest and draft initial email describing why it's worth covering Rebounz


Qualifications

Undergraduate or Graduate degree in digital strategy or related education.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply