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Internship Machine Learning Quant Jobs in Ridgewood, NJ

# Machine Learning ResearcherApply For This Role## About The RoleThe Machine Learning Researcher will ... PhD or MS in Computer Science, AI/ML, or a related quantitative field.* Strong publication record ...

Machine Learning Researcher

New York, NY ยท On-site

$200K - $300K/yr

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

Machine Learning Engineer

New York, NY ยท On-site +1

$209K - $250K/yr

Master's degree in Computer Science, Statistics, Data Science, or related quantitative field plus ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... You will work closely with quants and engineers alike and will play a central role in shaping how ...

Machine Learning Engineer

New York, NY ยท On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... You will work closely with quants and engineers alike and will play a central role in shaping how ...

Showing results 41-60

Internship Machine Learning Quant information

See Ridgewood, NJ salary details

$25.8K

$43.1K

$89K

How much do internship machine learning quant jobs pay per year?

As of Sep 13, 2026, the average yearly pay for internship machine learning quant in Ridgewood, NJ is $43,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What job categories do people searching Internship Machine Learning Quant jobs in Ridgewood, NJ look for?

The top searched job categories for Internship Machine Learning Quant jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Internship Machine Learning Quant jobs?

Cities near Ridgewood, NJ with the most Internship Machine Learning Quant job openings:

Infographic showing various Internship Machine Learning Quant job openings in Ridgewood, NJ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $43,085 per year, or $20.7 per hour.

Machine Learning Engineer

Manhattan, NY โ€ข On-site

Other

Posted 28 days ago


Job description

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. 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 Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If youโ€™d like to learn more, you can have a look at our Machine Learning page .

During the program, youโ€™ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that weโ€™re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.

The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including 1-2 dedicated to assessing ML engineering skills.

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We don't expect you to have a background in financeโ€”we're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow
  • A top-notch programmer with a love for technology
  • Intellectually curious, collaborative, and eager to learn
  • Humble and unafraid to ask questions and admit mistakes

We were founded by a small group of traders and technologists in a tiny New York office. Today, we have more than 2,000 employees across five global offices. We trade...

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