---
title: 'Machine Learning Compiler Engineer at Jane Street'
canonical: 'https://feeny.ai/job/machine-learning-compiler-engineer-jane-street-new-york-ttywr18h1yq8'
type: 'job'
last_seen: '2026-11-05'
---

# Machine Learning Compiler Engineer at Jane Street

- **Company:** Jane Street
- **Location:** New York, NY
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-05
- **Apply:** https://www.janestreet.com/join-jane-street/apply/8922042002?gh_jid=8922042002

## Job description

## About the position

We’re looking for compiler engineers to join a new ML Compilers Team at Jane Street.

Machine learning is a critical pillar of our global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

ML compilers let us quickly turn research ideas and novel architectures into high-throughput training jobs and low-latency inference. To get the most out of our hardware resources and enable rapid model development and deployment, we are working to understand and improve the current ML compiler technologies and explore where it makes sense to build our own solutions. In this role, you would shape the development of our compiler stack.

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.

## About you

The ideal candidate has worked on an ML compiler in the past, but non-ML compiler experience is also valuable. Experience with any part of the stack is fine, be it high-level ML frameworks (PyTorch, Jax, TensorFlow), graph compilers (Inductor, XLA, TVM), or kernel DSLs (Triton, Helion, cuTile). You should understand how all those pieces fit together even if you are unfamiliar with specific parts.

Some other things you might be excited about are:

- Optimizations in ML compilers: algebraic rewriting, materialize vs recompute tradeoffs and fusion, equality saturation, scheduling languages, loop-level optimization, autotuning
- ML compiler frontends: graph capture, symbolic and dynamic shapes, control flow, automatic differentiation
- GPU kernel programming and architecture: Triton, cuTile, CuTeDSL, CUDA, compute and memory hierarchies, programming with tensor cores
- Compiler concepts: static analysis, intermediate representations like SSA and CFGs, instruction selection
- ML inference: CUDA Graphs, KV caching, batching
- ML training: Tensor/Sequence/Expert/Pipeline Parallelism, FSDP, NCCL, activation checkpointing
- GPU debugging and optimization: CUDA-GDB, Nsight Systems, Nsight Compute
- Formal methods: proof assistants, automated theorem provers, agentic proof systems
- Programming languages and DSL design: embedded DSLs, staging and metaprogramming, type systems, functional programming

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

## 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/)

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