Research Scientist/Research Engineer, Reinforcement Learning

About the role

We are building the future of ML-powered trading through breakthrough reinforcement learning. As a Research Scientist/Research Engineer, you will be at the forefront of applying reinforcement learning to financial markets. You will conduct original research and own the systems that turn it into production trading, pushing the boundaries of what reinforcement learning can do at scale. Your improvements will directly impact live trading.

Responsibilities

• 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 their 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 very 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.
• 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 thinker who is 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.

Pay

Annual Base Salary Range: $200,000 USD - $350,000 USD