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Computer Science Internship Jobs in Princeton, NJ

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

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Computer Science Internship information

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Interns may also participate in code reviews and learn about development tools and workflows.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

Where can I do my internship as a computer science student?

Computer science students can pursue internships at technology companies, startups, research institutions, or through university programs. Internships often involve working with programming languages, software development, or data analysis, and may require prior knowledge of tools like Git or Python.

What are the key skills and qualifications needed to thrive as a Computer Science Intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

Is 23 an hour good for an internship?

For a computer science internship, $23 per hour is generally considered above average, as many internships pay between $15 and $20 an hour. This rate may reflect the level of skills, location, and the company's budget, and it often includes opportunities to gain valuable experience with programming languages and tools like Python or Java. However, internship pay varies widely depending on the industry and region.

What Are Internship Opportunities in Computer Science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at reputable tech companies or research institutions that offer hands-on experience in programming, software development, or data analysis are valuable. Look for opportunities that provide mentorship, skill development, and exposure to real-world projects, often requiring proficiency in languages like Python, Java, or C++ and relevant technical certifications. These internships can enhance your resume and prepare you for full-time roles in the tech industry.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in Princeton, NJ? The most popular types of Computer Science jobs in Princeton, NJ are:
What are popular job titles related to Computer Science Internship jobs in Princeton, NJ? For Computer Science Internship jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship jobs in Princeton, NJ look for? The top searched job categories for Computer Science Internship jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Computer Science Internship jobs? Cities near Princeton, NJ with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Princeton, NJ as of July 2026, with employment types broken down into 15% Internship, 47% Full Time, 23% Part Time, and 15% Temporary. Highlights an 92% In-person, and 8% Remote job distribution.

AI Research Scientist - Internship [2027 Summer]

Two Sigma Investments, LP

New York, NY • On-site

$5.5K/wk

Temporary, Internship

Medical, Dental, Retirement

Posted 5 days ago

Job description

AI Research Scientist - Internship [2027 Summer]
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Internship
Share this job
Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning, Large Language Models, and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their penultimate year of study.
You will take on the following responsibilities:
  • Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
  • In our research environment, you will write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us

You should possess the following qualifications:
  • Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
  • Excellent programming skills in Python (familiarity with Rust/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
  • Internships/work/course experience using Deep Learning, LLMs and/or Reinforcement Learning
  • Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
  • Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
  • Understanding of basic statistics
  • Experience with cloud computing environments and multi-machine setups
  • Curiosity and interest in learning about financial data modeling in a collaborative environment

The weekly base pay for this role will be between $5,000/Week (MS) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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