Research Scientist/Research Engineer, Reinforcement Learning — Jump Trading

Jump Trading Group is hiring a Research Scientist/Research Engineer for its reinforcement learning team in Chicago, New York, or London, offering an annual base salary of $200,000–$350,000. The role involves conducting original RL research and deploying it into live trading systems, requiring 5+ years of experience and a PhD or Master's in a related field.

Research Scientist/Research Engineer, Reinforcement Learning - Salary - $200k–350k/yr - Location - Chicago, New York, London - Work type - On-site - Posted - today Apply on company site opens in new tab https://www.jumptrading.com/hr/job?gh jid=8122860 Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires 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. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our team is a group of quantitative researchers, engineers, and ML experts leading reinforcement learning research and trading at Jump. Our mission is to combine emerging techniques and original research to learn optimal decision-making policies from financial market data and monetize them globally. We are building the future of ML-powered trading through breakthrough reinforcement learning, and we're looking for an exceptional Research Scientist/Research Engineer to join our team. What You’ll Do As a Research Scientist/Research Engineer working on RL, you'll be at the forefront of applying reinforcement learning to markets. You'll conduct original research and own the systems that turn it into production trading: designing and evaluating policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking; partnering with trading and research teams to source, integrate, and validate their alpha signals within the RL framework; ensuring simulation fidelity against live trading by modeling market microstructure, fill dynamics, liquidity, and latency; building efficient tooling to store, process, and analyze very large volumes of market and signal data; and communicating findings to technical and trading audiences. This isn't incremental optimization; we're pushing the boundaries of what reinforcement learning can do at scale, where your improvements directly impact live trading. Other duties as assigned or needed. Skills You’ll Need - 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 - PhD or Master's degree in Computer Science, Machine Learning, Robotics or a related subject - 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 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 Annual Base Salary Range $200,000 — $350,000 USD