Research Scientist/Research Engineer, Reinforcement Learning
Jump Trading · Chicago, IL, US
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About the Role
Jump Trading Group is seeking an exceptional Research Scientist/Research Engineer to join our team focused on reinforcement learning research and trading. This role involves applying cutting-edge reinforcement learning techniques to financial markets, conducting original research, and owning the systems that deploy this research into production trading.
Responsibilities
- Conduct original research and own systems that turn research into production trading.
- Design and evaluate policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking.
- Partner with trading and research teams to source, integrate, and validate alpha signals within the RL framework.
- Ensure simulation fidelity against live trading by modeling market microstructure, fill dynamics, liquidity, and latency.
- Build efficient tooling to store, process, and analyze large volumes of market and signal data.
- Communicate findings to technical and trading audiences.
- Other duties as assigned or needed.
Requirements
- 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia.
- Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production.
- Proficiency in Python and/or C++.
- Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX.
- Strong foundation in mathematics and statistics.
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent.
- Ability to thrive in a collaborative, team-oriented environment.
- Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
- Reliable and predictable availability.
- Excellent written and verbal communication skills in English.
Skills
- Reinforcement Learning
- Deep Learning
- Python
- C++
- PyTorch
- TensorFlow
- JAX
- Mathematics
- Statistics
- ML Libraries/Frameworks
Location
- Global
Work Type
- Full-time
Experience Level
- 5+ years
Education Level
- PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
Salary/Compensations
- $200,000—$350,000 USD
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 & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs
About the Company
- Jump Trading Group is committed to world-class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries and apply cutting-edge research to global financial markets.
- Our culture is unique, characterized by constant innovation, fearlessness, creativity, intellectual honesty, and a relentless competitive streak.
- We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect.
- Research outcomes drive more than superior risk-adjusted returns; we design, develop, and deploy technologies that change our world, fund start-ups, and partner with leading global research organizations and universities.