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Internship Ml Researcher Jobs (NOW HIRING)

Jane Street

Quantitative Researcher

New York, NY

... ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn ...

Jane Street

Quantitative Researcher

New York, NY · On-site

... ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn ...

Snorkel AI

AI Researcher - Intern

New York, NY · On-site

Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML. * Experience collaborating with academic labs or participating in research programs. Internship ...

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

... internships, academic projects, research, GitHub repositories, or professional experience. entry level candidates are welcome , provided they have practical AI/ML projects and strong technical ...

Meta

Research Scientist, ML H/W-SW Codesign

Sunnyvale, CA · On-site

$154K - $217K/yr

... Research scientists working in this area • Codesign and invent novel ML accelerator and system ... internship, work experience, coding competitions, or widely used contributions in open source ...

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As of Aug 22, 2026, the average monthly pay for internship ml researcher in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.
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Infographic showing various Internship Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

Quantitative Researcher

Jane Street

New York, NY

Full-time

Re-posted 8 hours ago

Job description

About the Position

Our goals are to give you a real sense of what it's like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You'll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies.

At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

You'll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You'll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

About you

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. Most candidates will have experience with data science or machine learning, but ultimately, we're more interested in how you think and learn than what you currently know. You should be:

  • Able to apply logical and mathematical thinking to all kinds of problems
  • Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
  • A strong programmer who's comfortable with Python
  • An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise

Most interns are current undergraduate or graduate students, but we also welcome applicants who have already graduated and are considering a new career in finance. Research experience is a plus.

If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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