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

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 ...

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the ... ROLE AND RESPONSIBILITIES • Support the development of data science and machine learning ...

Partner Solutions Intern

New York, NY · On-site

$16.50 - $22/hr

The intern will work cross-functionally to streamline information sharing, improve operational ... You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including ...

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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 Jun 24, 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 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.

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:
Infographic showing various Machine Learning Intern job openings in Edison, NJ as of June 2026, with employment types broken down into 3% Internship, 7% Full Time, and 90% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,085 per year, or $21.2 per hour.
Internship - Shelby White & Leon Levy Archives Center - Philadelphia Area Consortium of Special Coll

Internship - Shelby White & Leon Levy Archives Center - Philadelphia Area Consortium of Special Coll

Institute for Advanced Study

Princeton, NJ • On-site

Part-time, Internship

Posted 21 days ago


Job description

Description:

The Institute for Advanced Study Shelby White and Leon Levy Archives Center seeks an intern to assist with the research, development, and curation of archival and special collections related to the Institute’s history.

Anticipated Learning Objectives
The PACSCL Undergraduate Intern will:

  • Gain experience arranging and describing archival materials that demonstrate the international reach of the Institute for Advanced Study community of scholars.
  • Develop research skills to uncover the histories of émigré scholars, reviewing current metadata and making recommendations for updates that would improve access and discoverability to these histories among non-English-speaking populations.
  • Work with archivists to present a final project based on the completed work.
Requirements:

Ideal Qualifications/Prerequisites
The PACSCL Undergraduate Intern will ideally be:

  • Currently enrolled in an undergraduate degree with an interest in archives, special collections, or librarianship
  • Able to demonstrate a commitment to diversity, equity, and inclusion, as well as supporting representation for marginalized groups.
  • Able to communicate and collaborate effectively with individuals from a wide variety of backgrounds
  • Able to demonstrate excellent research and writing skills.

Timeline
This internship will be part-time (approximately 20 hours per week) for a total of 100 hours.


The Institute for Advanced Study retains the right to change or assign other duties to this position at any time.


To perform this role successfully, an individual must satisfactorily perform each essential job duty. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions.


For consideration, please submit your resume and cover letter via the link.


The Institute for Advanced Study is an Equal Opportunity Employer.


About the Institute

Since its founding in 1930, the Institute for Advanced Study has served as a model for protecting and promoting independent inquiry, prompting the establishment of similar institutes around the world, and underscoring the importance of academic freedom worldwide. Current philanthropic support and a reliable stream of endowment-generated revenue allow its permanent Faculty and visiting researchers (known as Members) to freely determine the course of their study. The Institute’s mission and culture have produced an exceptional record of achievement. Among its present and past Faculty and Members are 37 Nobel Laureates, 46 of the 64 Fields Medalists, and 25 of the 29 Abel Prize Laureates, as well as many MacArthur Fellows and Wolf Prize winners.