Campus AI Research Engineer (Full-Time)

Summary

Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to apply cutting-edge research to global financial markets. They are seeking a Campus AI Research Engineer to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that address complex problems in quantitative finance.

Responsibilities

• 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 AI/ML
• Optimize training pipelines to make the best use of our HPC resources
• Integrate AI/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 AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research
• Other duties as assigned or needed

Skills

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
• Ability to thrive in a collaborative, team-oriented environment
• Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
• Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
• Excellent written and verbal communication skills in English
• Reliable and predictable availability

Qualifications

Must Haves

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
• Ability to thrive in a collaborative, team-oriented environment
• Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
• Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
• Excellent written and verbal communication skills in English
• Reliable and predictable availability

Benefits

• INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.