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Baton Corporation

Reinforcement Learning Engineer ($400k - $800k salary)

London
$400k – $800k/yr
Posted about 2 months ago
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Who We Are

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.

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.”

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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.

Compensation Range: $400K - $800K

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Skills

Reinforcement Learning
Trading Systems
Risk Management
Policy Evaluation
Simulation
Data Modeling
Capital Control
Machine Learning
Heuristic Approaches
Deep Learning
System Deployment
Monitoring
Safeguards
Evaluation Frameworks
User Participation
Memecoin Ecosystem

Location

London, England, United Kingdom

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