Machine Learning Engineer at Jane Street
New York, NY
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Jul 5, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A summer internship for undergraduate or PhD students to work on real machine learning projects at a trading firm, mentored by full-time employees who designed those projects. Interns get hands-on access to a large GPU cluster and tackle problems ranging from open-ended research questions to building new ML systems, with exposure to the challenges of applying machine learning to noisy financial data.
Junior level · New York-Newark-Jersey City, NY-NJ-PA · Internship
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
This is an internship role (undergraduate or PhD student) at Jane Street, titled 'Machine Learning Engineer Intern' — seniority is Junior by definition.
Jane Street's primary office for this role is New York, NY; the posting describes an on-site interview component and no remote option is mentioned.
The only hard-gated technical requirement is practical experience training an ML model, working on an ML library, or optimizing an ML workflow — all three are listed as equivalent paths under the 'You should be' requirements block. No specific framework or language is named as a hard gate.
GPU computing (H100/H200/B200 cluster) appears only in descriptive/context prose about what interns will have access to, not as a candidate requirement.
The role is classified as Data Scientists (15-2051) given the ML-first framing, but Software Developers (15-1252) is a genuine runner-up because the posting explicitly shares curriculum with Software Engineering interns and emphasizes strong programming skills.
No compensation figures are provided.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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