Machine Learning Engineer

Janestreet·Londonjunior

In short

→Ingeniero de ML en un entorno de trading real con retroalimentación rápida.
→Trabajas en proyectos reales con mentores, usando GPU de última generación.
→Acceso a un cluster de GPUs con H100/H200/B200 y experimentación con datos financieros ruidosos.

Fluent in English

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo optimizarías un flujo de ML para entrenar modelos con datos financieros ruidosos?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →

📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

✓Estudiante de pregrado, posgrado o doctorado.
✓Experiencia práctica entrenando modelos de ML.
✓Excelente programador con pasión por la tecnología.
✓Curiosidad intelectual y espíritu colaborativo.
✓Capacidad para aprender rápido y admitir errores.
✓Fluidez en inglés.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Machine LearningPythonGPU clusterH100H200B200ML workflowsFinancial dataReal-world ML projectsML engineering

Who should you write to at Janestreet?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 . During the programme, 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 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 one dedicated to assessing ML engineering skills. Learn more about Jane Street s internship programme 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 re more interested in how you think and learn than what you currently know. You should be: • An undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising 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 • Fluent in English Find Jobs in United Kingdom on Arbeitnow

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.