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Reinforcement Learning Engineer
New York · Full-time · Posted Aug 18, 2026
About the job
Own and deploy a production reinforcement-learning trading system that uses real capital in a memecoin ecosystem, with a focus on increasing trading volume and user participation while controlling risk.
What you'll do
- Build and operate an RL-driven trading agent, including deployment, monitoring, and safeguards.
- Design reward functions, policies, and hard downside-risk constraints; develop simulation and offline evaluation frameworks.
- Transition a heuristic-based production system toward learning-based approaches and own the system end to end.
What they ask for
- Previously deployed an autonomous learning system that directly controlled capital, pricing, traffic, or resources.
- Designed and enforced hard risk limits in a live system.
- Built a policy evaluation loop, such as simulators, replay, counterfactuals, or shadow deployments, before live rollout.
- Owned a complex ML system as the sole owner in a small team.
AI focus
Build and operate reinforcement-learning systems for production trading, including policy design, offline evaluation, risk controls, and deployment.
Model-written summary · the original posting is authoritative