---
title: 'Machine Learning Engineer at Jane Street'
canonical: 'https://feeny.ai/job/machine-learning-engineer-jane-street-new-york-par7e20b19kg'
type: 'job'
last_seen: '2026-10-15'
---

# Machine Learning Engineer at Jane Street

- **Company:** Jane Street
- **Location:** New York, NY
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-10-15
- **Apply:** https://www.janestreet.com/join-jane-street/apply/8611307002?gh_jid=8611307002

## 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 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 you’d like to learn more, you can have a look at our Machine Learning [page](https://www.janestreet.com/join-jane-street/machine-learning/).

During the program, you’ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’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](https://www.janestreet.com/preparing-for-a-software-engineering-interview/) 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.

Learn more about Jane Street’s [internship program](https://www.janestreet.com/join-jane-street/internships/)here.

## 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, 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 finance—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

## 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

- [Talent Development Specialist](https://feeny.ai/job/talent-development-specialist-jane-street-new-york-8q61n7bz6bay) — New York, NY
- [Talent Development, Infrastructure and Operations Specialist](https://feeny.ai/job/talent-development-infrastructure-and-operations-specialist-jane-street-new-york-05yj3jrz76c2) — New York, NY
- [OTC Derivatives Reporting Specialist](https://feeny.ai/job/otc-derivatives-reporting-specialist-jane-street-hong-kong-8e9xe46tvrgq) — Hong Kong, Hong Kong
- [IT Security Specialist](https://feeny.ai/job/it-security-specialist-jane-street-london-6z29tnake8bg) — London, United Kingdom
- [Data Centre Facilities Engineer](https://feeny.ai/job/data-centre-facilities-engineer-jane-street-singapore-f61fz04b5wvc) — Singapore
- [Financial Reporting Accountant](https://feeny.ai/job/financial-reporting-accountant-jane-street-london-nmzfjv50mwpm) — London, United Kingdom
- [Cybersecurity Engineer](https://feeny.ai/job/cybersecurity-engineer-jane-street-london-n4q5e5gnrvfe) — London, United Kingdom
- [Cybersecurity Engineer](https://feeny.ai/job/cybersecurity-engineer-jane-street-hong-kong-fe59fvr6vwbe) — Hong Kong, Hong Kong
- [Architect](https://feeny.ai/job/architect-jane-street-new-york-xssn8a5q4kzj) — New York, NY
- [Residential Director, Academy of Math and Programming (AMP)](https://feeny.ai/job/residential-director-academy-of-math-and-programming-amp-jane-street-new-york-f55hbfgw75h3) — New York, NY