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Machine Learning Intern Jobs in Princeton Junction, NJ

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

As a Research Intern, you will be responsible for: * Research, design, and implement algorithms for ... Experience with machine learning libraries such as PyTorch, TensorFlow, Keras in addition ...

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

Growth Intern

New York, NY · On-site +1

$16.50 - $22/hr

Join N1 as a Growth Intern and contribute to shaping the future of decentralized computing at ... Undergraduate student (or equivalent level) with a strong drive for learning through doing

NYBG Title Reports to Science Intern Various Position Summary: The Science Internship is a ... learning new things. • Good interpersonal skills and willingness to be a team player. • ...

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related ...

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Titusville, New Jersey ... Currently enrolled in a PhD program in NLP, machine learning, computer science, biomedical ...

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R&D Spring Co-op

Titusville, NJ · On-site +1

$23.50/hr

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Titusville, New Jersey ... Currently enrolled in a PhD program in NLP, machine learning, computer science, biomedical ...

New

Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Titusville, New Jersey ... Currently enrolled in a PhD program in NLP, machine learning, computer science, biomedical ...

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Showing results 41-60

Machine Learning Intern information

See Princeton Junction, NJ salary details

$26.8K

$44.8K

$92.6K

How much do machine learning intern jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning intern in Princeton Junction, NJ is $44,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 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 Princeton Junction, NJ?

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

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Princeton Junction, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,829 per year, or $21.6 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group, LLP

New York, NY • On-site

$8.6K/wk

Full-time, Temporary, Internship

Re-posted 16 days ago


Job description

Overview
As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.
Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.
PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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