At a Glance
- Tasks: Own and develop a trading system using reinforcement learning to boost memecoin trading.
- Company: Baton Corporation, the tech powerhouse behind pump.fun, the leading memecoin launchpad.
- Benefits: High salary, unmatched ownership, and immediate real-world impact.
- Other info: Intense work culture with high expectations and significant career growth opportunities.
- Why this job: Join a fast-paced environment where your work directly influences crypto trading.
- Qualifications: Experience in deploying autonomous learning systems and enforcing risk limits.
Baton Corporation is the development company that builds and operates the entire technology stack behind 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.
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.
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. You 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.” You have built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout. You can make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology. You 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.”
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.
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.
Compensation Range: $400K – $800K
Reinforcement Learning Engineer ($400k - $800k salary) in London employer: Baton Corporation
Baton Corporation is an exceptional employer for those seeking to make a significant impact in the fast-paced world of cryptocurrency. With unmatched ownership and autonomy, employees are empowered to take charge of their projects, working on cutting-edge systems that operate at the forefront of technology. The company fosters a culture of high expectations and immediate impact, offering unique opportunities for professional growth and the chance to see the real-world effects of your work.
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We think you need these skills to ace Reinforcement Learning Engineer ($400k - $800k salary) in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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