Staff AI Engineer

About The RoleYou'll build the learning system for autonomous trading agents — enabling the fleet to learn from its own decisions and continuously improve.This is a production ML role (not research) focused on reinforcement learning and closed-loop systems.Key ResponsibilitiesLearning System & RL Loop Build feedback loop from trade outcomes strategy improvement Develop evaluation frameworks for signals and performance Automate strategy generation and backtesting Detect market regime shifts and adapt strategies Implement performance attribution systems Manage fleet coordination (risk, capital allocation) Build telemetry/data infrastructure Model & Inference Define and implement model hosting strategy Build domain-specific training pipelines Optimize inference for real-time trading agents Capture full decision telemetry across agents Requirements Closed-loop production ML systems (non-negotiable) RL / online learning experience Full-stack ML ownership (data model production) Strong Python + backend experience (Go/TS helpful) High-stakes system experience (preferred) Bonus Skills Financial ML / trading systems LLM fine-tuning & serving Multi-agent systems DeFi / onchain experience Experience in sequential decision systems (robotics, game AI, etc.)