Jane Street's Edwin Morris shares how AI has transformed his design workflow: instead of laboring over Figma mockups and spec docs, he builds working prototypes directly in OCaml, a language he'd never used before. In a recent blog post, he walks through how LLMs are reshaping the boundaries between design and engineering. https://lnkd.in/eBhjbKUt
About us
Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we’re just getting started. Jane Street does not offer any services to individual investors: https://www.janestreet.com/fraud-and-impersonation-warnings/
- Website
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http://www.janestreet.com
External link for Jane Street
- Industry
- Financial Services
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2000
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Employees at Jane Street
Updates
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In a recent #TechTalk, Northeastern's Arjun Guha digs into the internals of code LLMs, using activation steering to reveal how models represent programming concepts like types across languages. He also explores how programmers build (and sometimes struggle with) mental models of LLM capabilities. Watch the full talk here! https://lnkd.in/erCbshiE
Arjun Guha: How Language Models Model Programming Languages & How Programmers Model Language Models
https://www.youtube.com/
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We'll be at #SREcon Americas in Seattle next week! Come find the Jane Street team and chat about building reliable, high-performance systems and managing complex infrastructure at scale.
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This month's puzzle is a probability challenge inspired by the recent planetary parade. From the surface of a distant spherical planet, Pyrknot, can you calculate the chances of seeing all six neighboring planets at once and if building a tower could tip the odds in your favor? Give it a try: https://lnkd.in/eN2D4Ypt
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#NVIDIAGTC is right around the corner! Machine learning and accelerated computing are at the core of how we work at Jane Street, and we're looking forward to engaging with the AI community in San Jose. Don't miss our own Sylvain Gugger and Corwin de Zahr's talk on GPU performance optimization for ML training on Tuesday.
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Ella Ehrlich has been a developer at Jane Street for over a decade. During much of that time, she’s worked on Gord, one of Jane Street’s oldest and most critical systems, which is responsible for normalizing and distributing the firm’s trading data. In this episode of Signals & Threads, Ella and Ron talk about how to grow and modernize a legacy system without compromising uptime, why game developers are the “musicians of software,” and some of the work Jane Street has done to try to hire a more diverse set of software engineers. https://lnkd.in/e2p5UEad
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In our latest short video, our experts in New York, London, and Hong Kong review global market structure themes from 2025 and look ahead to 2026. https://lnkd.in/et9Ady9g
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In this #TechTalk, Matt Godbolt meticulously walks us through advanced Intel microarchitecture, exploring how instructions flow through the pipeline, how register renaming unlocks parallelism, and how the memory order buffer keeps everything consistent. Watch the full talk here! https://lnkd.in/eTVC6KFA
Matt Godbolt: Advanced Skylake Deep Dive
https://www.youtube.com/
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Our Advent of FPGA Challenge asked the community to solve Advent of Code puzzles in hardware. 213 submissions from 46 countries later, we're excited to share the results -- including solutions involving discrete logic PCBs, silicon tapeouts, and custom CPUs. Thank you to all who participated! Check out the top submissions and detailed write-ups here: https://lnkd.in/eEKDszHV