Research Scientist/Research Engineer Deep Learning
Jump Trading is a global trading firm where traders, engineers, and researchers develop trading strategies, models, infrastructure, and systems across asset classes and time horizons.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You apply deep learning to achieve state-of-the-art capabilities in complex domains. You implement open-ended research projects from concept through production, continuously improve model design, tools, and infrastructure, and combine machine learning expertise, engineering, statistics, and market intuition in quantitative research projects.
Requirements
- 5+ years of experience developing deep learning systems with measurable industry or academic impact
- Python or C++
- Mathematics and statistics
- PhD or master's degree in computer science, mathematics, or related subject
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- English written and verbal communication
Responsibilities
- Apply deep learning to complex research problems
- Implement research projects from concept to production
- Improve model design
- Improve research tools and infrastructure
- Develop quantitative research and monetization projects
Benefits
- 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 and AD&D insurance
- Paid vacation and paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness programs
