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

Data Scientist Intern -- Concord AdviceSummary Concord Advice is a dynamic fintech company ... Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps ...

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 ...

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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Machine Learning Intern information

See Harrison, NJ salary details

$26.7K

$44.6K

$92.2K

How much do machine learning intern jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning intern in Harrison, NJ is $44,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,200.00 per year, depending on experience, location, and employer.

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 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.

What are the most commonly searched types of Machine Learning jobs in Harrison, NJ?

The most popular types of Machine Learning jobs in Harrison, NJ are:

What job categories do people searching Machine Learning Intern jobs in Harrison, NJ look for?

The top searched job categories for Machine Learning Intern jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Machine Learning Intern jobs?

Cities near Harrison, NJ with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,601 per year, or $21.4 per hour.

Code and Zoning Interpretation Intern

City of New York

Manhattan, NY • On-site

$20 - $30/hr

Part-time

Posted 6 days ago


City Of New York rating

7.2

Company rating: 7.2 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

621st of 846 rated public administrative organizations


Job description

Company Description
Job Description
About us
At the NYC Department of Buildings, we are responsible for ensuring the safe and lawful use of buildings and properties by enforcing the NYC Construction Codes, Energy Code and Zoning Resolution. We facilitate compliant development with integrity, efficiency and professionalism. As an agency, we are committed to remaining a premier municipal building organization, dedicated to enhancing the quality of life for all New Yorkers and making our city safer. As an employer, we are committed to improving our performance and developing procedures that are streamlined, understandable, and transparent.
About the team
The Code & Zoning Interpretation unit is responsible for the interpretation of the NYC Construction Codes, NYC Electrical Code, NYC Zoning Resolution, NYS Multiple Dwelling Law, and related laws and rules. The unit responds to interpretation requests, trains examiners on code and zoning, and manages appeals of determinations made by the borough offices.
The Code and Zoning Interpretation intern will:
-Assist with coordinating code development meetings and following up in a timely manner on matters requiring further action.
-Assist with the creation of technical material for code committee review
-Tracking code committee progress.
-Assist with coordinating training sessions for industry stakeholders, DOB and other city-wide staff regarding code.
-Assist with creation and maintenance of databases, spreadsheets and tracking systems, tables, charts, graphs, and presentations related to code development.
-Drafting meeting summaries and status reports for tracking purposes; preparing documents for local law formatting.
-Performing research regarding national standards and codes of other jurisdictions.
-Scheduling and attending meetings, including inter-agency, division, and industry.
Work Hours
17 hours/week when school is in session
35 hours/week when school is on break
PAY RATES
Entering Freshmen through completion of Sophomore year: $17.50
Entering Junior through completion of Senior year: $17.75
Graduate level: $18.00
REMOTE WORK
When working a 35 hour/week schedule, this position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program
COLLEGE AIDE (ALL CITY DEPTS) - 10209
Qualifications
For Assignment Level I:
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school.
For Assignment Level II (Information Technology):
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or closely related field, including or supplemented by 9 semester credits in an acceptable course of study.
For Assignment Level III (Information Technology Fellow):
Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology, computer science, management information systems, data processing, or other area relevant to the information technology project(s) assigned, including or supplemented by 9 semester credits in an acceptable course of study. Appointments to this Assignment Level will be made by the Technology Steering Committee through the Department of Information Technology and Telecommunications.
SPECIAL NOTE
Maximum tenure for all Assignment Levels in the title of College Aide is 6 years. No student shall be employed more than half-time in any week in which classes in which the student is enrolled are in session. Students may be employed full-time during their vacation periods.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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