Campus ML Research Engineer (Full-Time)

Jump Trading Group is seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance.

Requirements

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
• Optimise training pipelines to make the best use of our HPC resources.
• Integrate ML models into production systems where latency matters.
• Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
• Build large scale ML systems that are observable, performant, and flexible.
• Help improve productivity by reducing the iteration cycle time on research.

Benefits

• Generous Paid Time Off
• 401k Matching
• Visa Sponsorship