Campus AI Research Engineer – Deep Learning(Full-Time)
Jump TradingAbout the Role
Join Jump Trading Group's research team as an AI Research Engineer specializing in deep learning. You will apply state-of-the-art machine learning techniques to complex financial domains, working closely with researchers and quantitative analysts to build flexible frameworks for financial ML. This role involves optimizing training pipelines, integrating ML models into production systems where latency is critical, and developing large-scale ML systems that are observable, performant, and flexible.
- Apply cutting-edge deep learning techniques to challenging quantitative finance problems
- Collaborate with researchers and quants to build reusable ML frameworks
- Optimize HPC training pipelines and GPU performance
- Deploy ML models into low-latency production trading systems
- Develop across multiple languages including C++, Python, and CUDA
Requirements
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
- Solid development skills in Python and/or C++
- Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
- Ability to thrive in a collaborative, team-oriented environment
- Ability to reason through quantitative problems and communicate effectively with trading researchers
- 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