Research Scientist/Research Engineer, Reinforcement Learning
Core
Conduct original reinforcement learning research and own the systems that turn it into production trading by designing policy architectures, reward formulations, and objective horizons.
Role type
Senior IC research scientist/research engineer (reinforcement learning)
Builds
Production trading systems and ML-powered trading infrastructure
Domain
Financial markets / Reinforcement learning
Deliverable
production ML models
Required skills
Reinforcement learning, Deep learning, Python, C++, Mathematics, Statistics, PyTorch, TensorFlow, JAX
Preferred skills
None explicitly stated
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Design and evaluate policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking; Partner with trading and research teams to integrate 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.
Seniority
Senior, hands-on IC