{"slug": "research-scientist-research-engineer-reinforcement-learning-jump-trading", "title": "Research Scientist/Research Engineer, Reinforcement Learning — Jump Trading", "summary": "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.", "body_md": "# Research Scientist/Research Engineer, Reinforcement Learning\n\n- Salary\n- $200k–350k/yr\n- Location\n- Chicago, New York, London\n- Work type\n- On-site\n- Posted\n- today\n\n[\nApply on company site (opens in new tab) ](https://www.jumptrading.com/hr/job?gh_jid=8122860)\n\nJump 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.\n\nOur 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.\n\nWhat You’ll Do\n\nAs 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.\n\nOther duties as assigned or needed.\n\nSkills You’ll Need\n\n- 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia\n- Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production\n- Proficiency in Python and/or C++\n- Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX\n- Strong foundation in mathematics and statistics\n- PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)\n- Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent\n- Ability to thrive in a collaborative, team-oriented environment\n- Creative thinkers who are driven, self-motivated, and eager to solve challenging problems\n- Reliable and predictable availability\n- Excellent written and verbal communication skills in English\n\nBenefits\n\n- Discretionary bonus eligibility\n- Medical, dental, and vision insurance\n- HSA, FSA, and Dependent Care options\n- Employer Paid Group Term Life and AD&D Insurance\n- Voluntary Life & AD&D insurance\n- Paid vacation plus paid holidays\n- Retirement plan with employer match\n- Paid parental leave\n- Wellness Programs\n\nAnnual Base Salary Range\n\n$200,000 — $350,000 USD", "url": "https://wpnews.pro/news/research-scientist-research-engineer-reinforcement-learning-jump-trading", "canonical_source": "https://frontierroles.com/jobs/jumptrading-research-scientist-research-engineer-reinforcement-learning-d6ff3d/", "published_at": "2026-08-18 18:54:10+00:00", "updated_at": "2026-08-19 02:12:30.113618+00:00", "lang": "en", "topics": ["machine-learning", "ai-research", "ai-products"], "entities": ["Jump Trading Group", "PyTorch", "TensorFlow", "JAX", "ICML", "ICLR", "AAAI", "NeurIPS"], "alternates": {"html": "https://wpnews.pro/news/research-scientist-research-engineer-reinforcement-learning-jump-trading", "markdown": "https://wpnews.pro/news/research-scientist-research-engineer-reinforcement-learning-jump-trading.md", "text": "https://wpnews.pro/news/research-scientist-research-engineer-reinforcement-learning-jump-trading.txt", "jsonld": "https://wpnews.pro/news/research-scientist-research-engineer-reinforcement-learning-jump-trading.jsonld"}}