Reinforcement Learning Engineer (T01)

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Have you put an autonomous learning system into production that directly controlled capital, pricing, traffic, or resources and can you explain what broke and how you fixed it. *

Have you personally designed and enforced hard risk limits (capital caps, loss bounds, circuit breakers) in a live system, not just talked about “risk-aware objectives. *

Have you built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout. *

Can you make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology. *

Have you operated as the single owner of a complex ML system in a small team, with no safety net of research orgs, infra teams, or “ML platforms.? *

Have you been in the process with BATON CORP in the past 12 months either direct or through another recruiter? *

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