About the job
Reinforcement Learning Engineer
Join our innovative team at mlabs, a leading software development firm at the forefront of decentralized finance. We are dedicated to building the infrastructure for the world's largest crypto social networks and digital asset launchpads. Our mission-driven group of builders values speed, technical excellence, and exceptional talent.
We are currently looking for a Reinforcement Learning (RL) Engineer who will be responsible for the end-to-end development of an RL-driven trading agent. This role involves managing real capital to enhance trading volume and user engagement within a dynamic memecoin ecosystem. The ideal candidate is an expert capable of integrating advanced modeling techniques with live financial operations. You will play a pivotal role in transitioning existing heuristic-based systems to learning-based methodologies while adhering to strict risk management protocols in a global 24/7 market.
Key Responsibilities:
- Autonomous Agent Development: Lead the design, delivery, and refinement of an RL-driven trading agent to boost ecosystem engagement.
- Objective Function Design: Create reward functions and policies closely aligned with product objectives while implementing strict downside risk management.
- Validation Frameworks: Develop comprehensive evaluation and validation frameworks, including simulations and offline analyses, to minimize dependence on live testing.
- System Transition: Oversee the transition of existing heuristic-based systems to cutting-edge learning-based approaches safely.
- Technical Leadership: Act as the sole RL expert within a compact, high-performing team, responsible for the entire lifecycle from data modeling and deployment to monitoring and risk management.
Interview Process:
- Recruiter / HR Call: Initial screening to discuss your professional background, risk management philosophy, and cultural fit.
- Technical Interview: In-depth assessment of RL architecture, simulation frameworks, and experience in live production.
- Final Interview: Strategic discussion with leadership focusing on alignment with our mission, role expectations, and long-term goals.

