ML Engineer Intern — Mentored, Real-World Finance Projects

Trading Interview; New York (NY); On-site; USD 55,000 - 83,000; Part time

Benefits offered by this job

Mentorship program

GPU cluster access

Hands-on finance ML projects

Job summary

Jane Street invites you to a Machine Learning Engineer internship that pairs you with mentors and real projects. You will work on ML tasks that matter for the firm, including optimization and experimentation using our GPU cluster.

The program emphasizes learning through doing, with structured guidance and hands-on finance-focused ML applications. You’ll join on-site teams in New York, attend sessions with engineers, and participate in 2-4 technical rounds tailored to ML engineering skills.

Qualifications

• An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing 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.

Responsibilities

• Work on real ML projects mentored by full-time engineers.
• Collaborate with interns and software teams on practical ML tasks.
• Access and learn from our GPU cluster to understand ML in finance.

Skills

ML programming

Python

Software engineering

Collaborative teamwork

Education

Undergraduate or PhD student in CS/ML

Tools

GPUs

ML libraries

TensorFlow/PyTorch

Job description

Jane Street invites you to a Machine Learning Engineer internship that pairs you with mentors and real projects. You will work on ML tasks that matter for the firm, including optimization and experimentation using our GPU cluster.

The program emphasizes learning through doing, with structured guidance and hands-on finance-focused ML applications. You’ll join on-site teams in New York, attend sessions with engineers, and participate in 2-4 technical rounds tailored to ML engineering skills.