ML Engineer Internship - Mentored Projects & GPU Access

Tradermath; Greater London; Hybrid; GBP 15,000 - 21,000; Full time

Job summary

Jane Street is offering a Machine Learning Engineer internship where you’ll be paired with mentors and collaborate on real-world ML projects that we actually need done.

You’ll work on a variety of tasks, including projects addressing big-picture questions and building new tools, with access to our GPU cluster and hands-on ML engineering experiences. The interview process includes a technical coding interview and on-site rounds, reflecting our practical, learning-focused culture.

Qualifications

• Undergraduate, postgraduate or PhD student with practical ML experience.
• Top-notch programmer with love for technology.
• Curious, collaborative and eager to learn.
• Humble and willing to ask questions and admit mistakes.
• Fluent in English.

Responsibilities

• Work on ML projects mentored by full-time engineers.
• Contribute to building and improving ML workflows within our platform.
• Learn and apply ML techniques to real-world data and problems.
• Collaborate with interns and full-time colleagues across teams.

Skills

ML model training

Programming

Curiosity & collaboration

English fluency

Education

Undergraduate/ Postgraduate/ PhD student

Tools

GPU clusters

Job description

Jane Street is offering a Machine Learning Engineer internship where you’ll be paired with mentors and collaborate on real-world ML projects that we actually need done.

You’ll work on a variety of tasks, including projects addressing big-picture questions and building new tools, with access to our GPU cluster and hands-on ML engineering experiences. The interview process includes a technical coding interview and on-site rounds, reflecting our practical, learning-focused culture.