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Machine Learning Intern Jobs in Ewan, NJ (NOW HIRING)

Acenda

Bachelors Intern

Glassboro, NJ

$14.50 - $19.25/hr

Bachelors Intern About Acenda Integrated Health Acenda Integrated Health provides 100+ behavioral health programs, including mental health services, crisis care, substance use recovery, family ...

Acenda Integrated Health

Bachelors Intern

Glassboro, NJ · On-site

$14.50 - $19.25/hr

Bachelors Intern About Acenda Integrated Health Acenda Integrated Health provides 100+ behavioral health programs, including mental health services, crisis care, substance use recovery, family ...

Acenda Integrated Health

Bachelors Intern

Glassboro, NJ

$14.50 - $19.25/hr

Bachelors Intern About Acenda Integrated Health Acenda Integrated Health provides 100+ behavioral health programs, including mental health services, crisis care, substance use recovery, family ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Ewan, NJ

Machine Learning Intern information

See Ewan, NJ salary details

$24.5K

$40.9K

$84.6K

How much do machine learning intern jobs pay per year?

As of Jun 28, 2026, the average yearly pay for machine learning intern in Ewan, NJ is $40,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 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 cities near Ewan, NJ are hiring for Machine Learning Intern jobs? Cities near Ewan, NJ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

Internship Learning Team (Educational Intern)

Learnlife

Barrington, NJ • On-site

$14.50 - $19.25/hr

Contractor

Posted 18 hours ago

Job description

WHAT:

This is not a traditional education internship. There are no classes or grades or curriculum at Learnlife. Our learning guides co-design passion projects and learning experiences with our learners, facilitate personal development workshops, provide one-on-one coaching and mentoring, and collaborate with our many partners to craft a purpose-inspired, personal, experiential and community-engaged learning experience for all our learners.


WHO are YOU:

This is a startup! So we are looking for someone who is collaborative, communicates well, understands the importance of strong personal relationships and thrives in a fast-paced, innovative and agile environment. Due to the very busy nature of our work, the learning guides have limited time for direct coaching and support. You are able to ask for help and act in an agile way. People who have been successful so far have a sense of humour. Having an English level C1/C2 is an absolute must to thrive in our environment.

As such, interns need to be self-starters and self-directed. In practice, this looks like identifying needs and beginning to help support those needs. It looks like championing a project, supporting individual learners, or assisting learning guides without needing too much hand holding. Along the way, we hope that you learn lots of skills and gain new understandings of how learning can be done differently. All of our interns report having learned more and grown much more than they imagined.


HOW:

Every potential intern can have the option of a two weekstageto determine if it is a good culture fit for both sides and to determine if there are ways that you can add value to what we are doing. From there we will create a roadmap with deliverables for your journey here.Internships at Learnlife should last between 3-6 months between September and June the following year you can join us part-time (4,6 hours a day) or full time (40 hours week) always starting at 9am. In order to make all the previous information possible, we need all candidates to be able to sign an internship agreement with your University, Business School or Education community. This type of sponsorship is a must!


AFTERWARDS:

While we plan to grow quickly and, as such, new roles will inevitably come open, we can make no promises of a job after your internship and we like to discourage people from interning who are thinking in that direction. If you want to join us to learn and grow, perfect! If your enjoyment of the experience is contingent on gaining employment, then this probably is not the internship for you. Internships are unpaid at Learnlife.


TELL US MORE ABOUT YOURSELF!

Looking forward to hearing about you.

Learnlife Team

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