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Entry Level Machine Learning Researcher Jobs (NOW HIRING)

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience.

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience.

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

GREENFIELD AI LAB - Machine Learning Research Engineer NYC/Chicago · Quantitative Trading · Full-time Greenfield AI initiative at a globally-respected trading firm. You'll work directly on systems ...

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual ...

Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems. What ...

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing ...

OpenReq is focused on innovative AI chip technology, and they are seeking a Machine Learning Researcher to lead research efforts on compute trade-offs for enhanced understanding and speed. The role ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

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Entry Level Machine Learning Researcher information

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$30K

$113.1K

$164.5K

How much do entry level machine learning researcher jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Machine Learning Researcher vs Data Scientist?

AspectEntry Level Machine Learning ResearcherData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some research experienceBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness analytics teams, tech companies, consulting firms
Employer & Industry UsageResearch-focused roles in academia, tech, or research institutionsData-driven decision making in various industries like finance, healthcare, tech

While both roles involve working with data and algorithms, an Entry Level Machine Learning Researcher primarily focuses on developing new algorithms and advancing machine learning techniques in research settings. In contrast, a Data Scientist applies existing models to solve business problems, interpret data insights, and support decision-making across industries.

More about Entry Level Machine Learning Researcher jobs
What cities are hiring for Entry Level Machine Learning Researcher jobs? Cities with the most Entry Level Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
Infographic showing various Entry Level Machine Learning Researcher job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Researcher

Machine Learning Researcher

Jane Street

New York, NY • On-site

Other

Re-posted 25 days ago


Job description

About the Position

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models.

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 thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques.

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

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. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:

  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks 
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things

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.