Campus AI/ML Researcher
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 will apply machine learning to challenging research problems, take projects from concept through production, and continuously improve model design, tools, and infrastructure. You will use statistics, engineering, and market understanding to develop predictive models and communicate your findings effectively.
Requirements
- Demonstrated ability to apply machine learning in challenging domains
- Strong publication record or contributions to open-source AI research
- Familiarity with PyTorch TensorFlow or JAX
- Proficiency in Python or C++
- Strong background in machine learning
- Exposure to deep learning or language modeling architectures
- Ability to reason through quantitative problems
- Effective communication skills
- Reliable and predictable availability
- Interest in working in Asia after graduation
Responsibilities
- Apply machine learning to complex research problems
- Implement research projects from concept through production
- Improve model design tools and infrastructure
- Develop predictive trading models
- Apply statistical analysis and data mining
- Communicate findings with quantitative researchers