ML Research Internship: Real-World Trading Challenges

Tradermath; New York (NY); Hybrid; USD 34,000 - 55,000; Full time

Job summary

Jane Street offers an internship for an ML researcher to work alongside senior ML researchers on projects tied to real-world trading strategies. You will join a fast-paced environment with access to petabytes of data, a compute cluster, and a growing GPU cluster to train practical models.

You’ll learn how we think about markets, practice established methods, and explore novel ideas. The program emphasizes rigorous thinking, cross-team collaboration, and hands-on experimentation with

Qualifications

• Undergraduate, PhD student, or postdoc with practical ML problem experience.
• Interest in applying logical and mathematical thinking to ML problems.
• Curious about the ML landscape and excited to apply state-of-the-art techniques from many domains.

Responsibilities

• Collaborate with ML researchers on projects related to trading strategies.
• Experiment with datasets, model architectures, and training procedures.
• Analyze results and iterate on ideas with the team.

Skills

Python programming

ML problem solving

Education

Undergraduate

PhD student

Postdoc

Tools

Python

Job description

Jane Street offers an internship for an ML researcher to work alongside senior ML researchers on projects tied to real-world trading strategies. You will join a fast-paced environment with access to petabytes of data, a compute cluster, and a growing GPU cluster to train practical models.

You’ll learn how we think about markets, practice established methods, and explore novel ideas. The program emphasizes rigorous thinking, cross-team collaboration, and hands-on experimentation with