# Machine Learning Research Engineer

Source: https://realanalystjobs.com/job/machine-learning-research-engineer-jane-street-a733d4c8
Machine Learning Research Engineer at Jane Street, an on-site role based in London, UK. Posted on 20 May 2024, read from Jane Street's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Jane Street is on the Home Office register of licensed visa sponsors.

Updated 15 November 2026.

## Key facts

- Company: [Jane Street](https://realanalystjobs.com/companies/jane-street)
- Location: London, UK
- Work mode: On-site
- Posted: May 20, 2024
- Employment type: Full time
- Source: Jane Street's careers page (Greenhouse), re-checked daily

## Visa sponsorship

The posting does not say.

Licensed UK sponsor. Licensed by the Home Office to sponsor Skilled Worker visas (register of 27 Oct 2026). A licence means the employer can sponsor; it does not mean every role will be sponsored. Listed as Jane Street Europe Limited (London).

## About this role

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Machine learning is a critical pillar of Jane Street's 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.

We’ll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it’s neural networks, random forests, gradient-boosted trees or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML Research Engineers will be able to understand the mechanics behind various modelling techniques, while also being able to break down the mathematics behind them. We’re looking for people who can be a true bridge between research and engineering, and can help us push forward the frontier of our model capabilities at all points of the stack. This could involve enabling a new scale in our technology stack, sitting on a team of Researchers to rapidly prototype a new research idea, or building workflow APIs that support a wide range of use cases.

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. While there isn’t a fixed list of qualifications we’re looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in.

We're looking for someone with:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production

• A strong mathematical background; Good candidates will be excited about things like optimisation theory, regularisation techniques, linear algebra and the like

• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware or reading the source of a new machine learning package

• A proven ability to create and maintain an organised research codebase that produces robust, reproducible results while maintaining ease of use

• Expertise wrangling an ML framework - we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow or others

• An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

• Fluency in English required

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

Description from Jane Street's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-research-engineer-jane-street-a733d4c8) and use Apply now there to reach the employer's application. The listing is re-checked against Jane Street's careers page daily and removed when it closes.

## Jane Street

2 open analyst roles on Real Analyst Jobs. [More roles at Jane Street](https://realanalystjobs.com/companies/jane-street)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-research-engineer-jane-street-a733d4c8)
- [Jane Street on Real Analyst Jobs](https://realanalystjobs.com/companies/jane-street)
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