Reinforcement Learning Engineer
Bags.fm, New York
What you will 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