---
title: 'Machine Learning Researcher at Jane Street'
canonical: 'https://feeny.ai/job/machine-learning-researcher-jane-street-new-york-new-york-kp08cf7ev0ej'
type: 'job'
last_seen: '2026-09-10'
---

# Machine Learning Researcher at Jane Street

- **Company:** Jane Street
- **Location:** New York New York, United States
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://www.janestreet.com/join-jane-street/apply/8384490002?gh_jid=8384490002

## 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](https://www.janestreet.com/join-jane-street/ml-research-interviews) and [meet some of the team](https://www.janestreet.com/join-jane-street/get-to-know-us/). Learn more about Jane Street’s [internship program](https://www.janestreet.com/join-jane-street/internships/)here.

## About Jane Street

## Company Overview
- **One-liner**: Jane Street is a global quantitative trading firm and liquidity provider that uses sophisticated technology, machine learning, and deep market expertise to trade financial products across equities, bonds, options, and ETFs.
- **Entity Type**: Private (not publicly traded)
- **Headquarters**: New York, USA (with offices in London, Hong Kong, Singapore, and Amsterdam)
- **Founded**: 2000
- **Founders**: Not publicly disclosed as a single founder group; the firm was founded by a team of quantitative traders and technologists.

## Core Business
- **Primary industry/industries**: Quantitative finance / Proprietary trading / Market making
- **Target customers**: Institutional clients (asset managers, pension funds, insurance companies, hedge funds) and global exchanges; the firm acts as a liquidity provider on over 200 electronic exchanges.
- **Mission or purpose statement**: “Solving the puzzle of global markets” — a research-driven approach to trading, blending human intuition with cutting-edge quantitative analysis.

## Products & Services
- **Market Making**: Jane Street provides continuous, two-sided quotes on equities, ETFs, bonds, options, and other instruments, helping keep prices consistent and reliable across global markets.
- **Proprietary Trading**: The firm trades its own capital across a wide range of asset classes, using sophisticated models and automated strategies.
- **Institutional Sales & Trading**: Partners with asset managers, pensions, and insurance companies to provide trading solutions and access to differentiated liquidity.
- **Technology & Infrastructure**: Builds all critical software in-house (trading systems, risk management, data analysis tools), using the OCaml functional programming language.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private firm). Industry estimates suggest Jane Street is one of the world’s largest and most profitable market makers, with annual trading volumes in the trillions of dollars.
- **Key Metric**: Not publicly disclosed. The firm is widely reported to have generated billions in annual revenue and profit, though exact figures are private.
- **Notable Investors/Partners**: 100% employee-owned. No external investors. Partners include top institutional clients globally.
- **Growth Signals**: Jane Street has grown every year in team, capital, and global presence since its founding in 2000. It has expanded from a focus on ETFs into equities, bonds, options, and other asset classes. The firm continues to invest heavily in machine learning and quantitative research.

## Competitive Advantages
- **Technical Moat**: Builds almost all software in-house using OCaml, a statically typed functional language that provides high reliability, real-time visibility, and performance at market scale.
- **Data & Scale**: Trades on 200+ electronic exchanges globally, processing trillions of historical events to uncover both sub-microsecond and long-term market inefficiencies.
- **Talent Density**: A culture of intellectual curiosity and collaboration across trading, research, and technology teams. The firm is known for hiring top minds from any background (math, physics, CS, engineering) and training them in-house.
- **Long-Term Track Record**: Over 20 years of consistent growth and profitability, navigating volatile markets with a disciplined, research-driven approach.

## Strategic Focus
- **Machine Learning & Quantitative Research**: Deepening the use of ML techniques across all trading strategies, from high-frequency to long-term systematic models.
- **Global Expansion**: Continuing to grow its presence in existing offices (NY, London, HK, Singapore, Amsterdam) and exploring new markets.
- **Technology Investment**: Ongoing investment in infrastructure, hardware (e.g., programmable hardware, high-performance computing), and software tools to maintain a competitive edge.
- **Talent Pipeline**: Heavy focus on recruiting interns and new grads, as well as experienced hires, with structured programs for learning and mentorship.

## Why Work Here
- **Culture**: Described as “open and collaborative,” with porous boundaries between trading, research, and technology. Intellectual humility and curiosity are highly valued.
- **Learning & Development**: Offers immersive internships, multi-day programs, direct mentorship, and a week abroad for interns. Full-time employees have access to extensive internal training, a library, and classrooms in every office.
- **Work Environment**: Most employees write code as part of their regular work. The firm is known for its technical excellence and for using the most advanced tools available.
- **Benefits**: Daily breakfast and lunch, fully-stocked kitchens, on-site gyms, nursing suites, quiet rooms, recreation spaces, health services, and more. Offices are designed for collaboration and deep focus.
- **Remote/Hybrid Policy**: Not explicitly stated, but the firm emphasizes in-person collaboration on trading floors. Offices are located in major global cities.
- **Diversity**: Actively seeks people from all backgrounds and emphasizes that the company is only as strong as its people.

## Sources
1. [janestreet.com - Home](https://www.janestreet.com/)
2. [janestreet.com - Overview](https://www.janestreet.com/join-jane-street/overview/)
3. [janestreet.com - What We Do](https://www.janestreet.com/what-we-do/overview/)
4. [janestreet.com - Departments](https://www.janestreet.com/join-jane-street/departments)
5. [janestreet.com - Open Roles](https://www.janestreet.com/join-jane-street/open-roles/)

## Other roles at Jane Street

- [Quantitative Researcher](https://feeny.ai/job/quantitative-researcher-jane-street-hong-kong-cag69vejmhn7) — Hong Kong, Hong Kong
- [Quantitative Trader](https://feeny.ai/job/quantitative-trader-jane-street-hong-kong-1axfz61mtsy7) — Hong Kong, Hong Kong
- [Data Center Operations Engineer](https://feeny.ai/job/data-center-operations-engineer-jane-street-chicago-xqnz1qv6hqx0) — Chicago, IL
- [Data Center Operations Engineer](https://feeny.ai/job/data-center-operations-engineer-jane-street-austin-texas-k6xskp5en38t) — Austin Texas, United States
- [Trading Desk Operations Engineer](https://feeny.ai/job/trading-desk-operations-engineer-jane-street-london-england-8gkez5pp5khd) — London England, United Kingdom
- [Swag Program Manager](https://feeny.ai/job/swag-program-manager-jane-street-new-york-new-york-jvcang41v6kv) — New York New York, United States
- [Procurement Specialist](https://feeny.ai/job/procurement-specialist-jane-street-new-york-new-york-5f9c5qqwqrzq) — New York New York, United States
- [Recruiting Coordinator - Experienced Hire Recruiting, Technology](https://feeny.ai/job/recruiting-coordinator-experienced-hire-recruiting-technology-jane-street-hong-94p4bxrfy97k) — Hong Kong, Hong Kong
- [Trading Desk Operations Engineer](https://feeny.ai/job/trading-desk-operations-engineer-jane-street-hong-kong-mdbjjwr0c94g) — Hong Kong, Hong Kong
- [Software Engineer](https://feeny.ai/job/software-engineer-jane-street-singapore-5teqb9206e4q) — Singapore