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

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Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... Machine Learning and Predictive Modeling: * Assist in the development and implementation of machine ...

Gaf

AI Intern

Parsippany, NJ

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models and AI solutions (including predictive analytics and generative AI) within GAF's data ecosystem.

GAF

AI Intern

Parsippany, NJ · On-site

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models and AI solutions (including predictive analytics and generative AI) within GAF's data ecosystem.

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

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

Machine Learning Intern information

See Edison, NJ salary details

$26.4K

$44.1K

$91.1K

How much do machine learning intern jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning intern in Edison, NJ is $44,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,600.00 per year, depending on experience, location, and employer.

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.

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 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Edison, NJ? The most popular types of Machine Learning jobs in Edison, NJ are:
What are popular job titles related to Machine Learning Intern jobs in Edison, NJ? For Machine Learning Intern jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Edison, NJ look for? The top searched job categories for Machine Learning Intern jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Machine Learning Intern jobs? Cities near Edison, NJ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Edison, NJ as of May 2026, with employment types broken down into 81% Full Time, 7% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,085 per year, or $21.2 per hour.
Machine Learning Specialist

Machine Learning Specialist

Applied Physics

New York, NY • On-site

Full-time

Posted 13 days ago

Job description

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.

Responsibilities:

  • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
  • Implement, train, and validate proposed algorithms for specific problem domains.
  • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals.
  • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
  • Travel as required to coordinate research with collaborators and visit field sites.

Requirements

  • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
  • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
  • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
  • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
  • Proven ability to undertake original research and communicate findings in peer-reviewed publications.
  • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.

Benefits

We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.

If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.