Jane Street-posted 5 months ago
Intern
NY

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. During the program, 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.

  • Collaborate with full-time employees on real-world ML projects.
  • Participate in classes and interactive sessions focused on machine learning applications.
  • Engage in group discussions to explore solutions to ML problems.
  • Utilize office amenities and educational resources during the internship.
  • Attend guest speakers and social events.
  • Undergraduate or PhD student with practical experience training an ML model.
  • Experience working on an ML library or optimizing an ML workflow.
  • Strong programming skills and a love for technology.
  • Intellectually curious and eager to learn.
  • Collaborative spirit and humility to ask questions and admit mistakes.
  • Access to a growing GPU cluster.
  • Mentorship from full-time employees.
  • Opportunity to work on real-world ML projects.
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