Campus AI Research Engineer (Full-Time)
Jump TradingAbout the Role
Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems that solve complex problems in quantitative finance. You'll work on optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, and pushing the boundaries of AI research from concept to production in a fast-paced, collaborative environment.
- Apply state-of-the-art techniques to complex domains
- Work closely with researchers and quants to build flexible frameworks for financial AI/ML
- Optimize training pipelines for HPC resources
- Integrate AI/ML models into production systems with latency requirements
- Build large-scale, observable, and performant AI/ML systems
Requirements
- 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
What You'll Get
- $300k+ base salary
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs