# Reinforcement Learning Engineer \($400k - $800k salary\) - Company: [Batoncorporation]() - Location: New York · London - Team: Engineering - Employment type: Full Time - Salary: $400K – $800K - Posted: May 13, 2026 ## Job description # **Who We Are** Baton Corporation is the development company that builds and operates the entire technology stack behind [pump.fun](http://pump.fun), the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong. # **What You’ll Do** As our Reinforcement Learning Engineer, you will own a production trading system that directly deploys real capital. This is not a research role - it’s about building learning systems that are robust, measurable, and safe under real-world constraints. * Own and ship an RL-driven trading agent using real capital to increase trading volume and user participation in a memecoin ecosystem * Design reward functions and policies aligned with product goals while enforcing strict downside risk constraints * Build evaluation and validation frameworks (simulation, offline analysis) to minimize reliance on live sequential testing * Safely transition an existing heuristic-based production system toward learning-based approaches * Take end-to-end ownership and technical leadership as the sole RL expert, from data and modeling through deployment, monitoring, and safeguards # Who You Are: * You have previously put an autonomous learning system into production that directly controlled capital, pricing, traffic, or resources and can explain what broke and how they fixed it * Have 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 built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout. * Can make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology * Have 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.” # What it's like to work here * We work in person * Hours can be long and unconventional * The pace is intense * Expectations are high, and impact is immediate * Working at Baton is not for everyone # Why Join Us? * Unmatched ownership and autonomy * Exposure to systems operating at the edge of crypto scale * The ability to ship fast and see real-world impact immediately If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here. ## Apply [Apply on Batoncorporation]() Canonical job page: