1

Programmer Internship Jobs in Princeton, NJ (NOW HIRING)

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Showing results 21-40

Programmer Internship information

See Princeton, NJ salary details

$12

$41

$72

How much do programmer internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for programmer internship in Princeton, NJ is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $26.97 and $53.94 per hour, depending on experience, location, and employer.

Can I get a programming internship with no experience?

Programming internships often accept applicants with little or no professional experience, especially if they demonstrate basic coding skills, a willingness to learn, and familiarity with relevant programming languages or tools. Many internships are designed as entry-level opportunities to help students or beginners gain practical experience and develop their skills. Building a portfolio, completing online courses, or working on personal projects can improve your chances of securing an internship without prior work experience.

What are the key skills and qualifications needed to thrive as a programmer intern, and why are they important?

To thrive as a Programmer Intern, you need a foundational understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, often supported by coursework or a related degree in computer science. Familiarity with integrated development environments (IDEs), version control systems like Git, and basic debugging tools is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns adapt quickly and collaborate within teams. These skills enable interns to contribute meaningfully to projects, learn from feedback, and grow professionally in a fast-paced tech environment.

What is the difference between Programmer Internship vs Software Developer?

AspectProgrammer InternshipSoftware Developer
Required CredentialsTypically students or recent graduates, some coding knowledgeBachelor's degree in CS or related field, experience preferred
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time employment, collaborative teams, project ownership
Employer & Industry UsageTech companies, startups, internships for skill developmentTech firms, software companies, enterprise environments
Common Search & ComparisonYesYes

The Programmer Internship is an entry-level position designed for students or recent graduates to gain practical experience. In contrast, a Software Developer is a full-time professional responsible for designing, coding, and maintaining software applications. Internships offer learning opportunities, while full-time roles involve more responsibility and project ownership.

What types of projects and responsibilities can I expect during a programmer internship?

As a Programmer Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, and assisting with ongoing development projects under the guidance of experienced engineers. Interns often participate in team meetings, collaborate with other developers, and may be assigned to specific modules or features within larger applications. This hands-on experience helps build your technical skills and exposes you to real-world software development processes, version control systems, and agile workflows commonly used in the industry.

What is a programmer internship?

Programmer internships are temporary, entry-level positions where students or recent graduates work with experienced developers to gain practical experience in software development. Interns usually assist with coding, testing, debugging, and documentation while learning about real-world programming practices, tools, and workflows. These internships help individuals build technical skills, expand their professional network, and increase their chances of securing a full-time job in the tech industry.
What are the most commonly searched types of Programmer jobs in Princeton, NJ? The most popular types of Programmer jobs in Princeton, NJ are:
What are popular job titles related to Programmer Internship jobs in Princeton, NJ? For Programmer Internship jobs in Princeton, NJ, the most frequently searched job titles are:
What cities near Princeton, NJ are hiring for Programmer Internship jobs? Cities near Princeton, NJ with the most Programmer Internship job openings:

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Posted 24 days ago


Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You’ll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.