ML Engineer Intern: Real Projects, Mentors, GPU Access

Janestreet; Greater London; On-site; GBP 18,000 - 28,000; Full time

Job summary

Jane Street in London is seeking a motivated ML Engineer intern to work on real-world ML projects under experienced mentors. You will collaborate with full-time engineers, apply ML methods to noisy financial data, and gain hands-on experience with a GPU cluster.

You'll join a program designed to teach by doing, with structured classes and project work, mentorship, and exposure to high-impact ML applications in trading. Fluency in English and a curious, collaborative mindset are required.

Qualifications

• 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

Responsibilities

• Work on ML projects mentored by full-time employees
• Gain access to our GPU cluster containing thousands of devices and learn application to noisy financial data
• Participate in the internship interview process and learn through mentored experiences

Skills

ML experience

Programming skills

English fluency

Education

Undergraduate/Graduate/PhD student

Job description

Jane Street in London is seeking a motivated ML Engineer intern to work on real-world ML projects under experienced mentors. You will collaborate with full-time engineers, apply ML methods to noisy financial data, and gain hands-on experience with a GPU cluster.

You'll join a program designed to teach by doing, with structured classes and project work, mentorship, and exposure to high-impact ML applications in trading. Fluency in English and a curious, collaborative mindset are required.