Reinforced Learning Engineer - Crypto jobs in United States
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Career Renew · 8 hours ago

Reinforced Learning Engineer - Crypto

Career Renew is recruiting for one of its clients a Reinforced Learning Engineer - Crypto, which is a fully onsite role in NYC. The main responsibilities include owning and shipping an RL-driven trading agent, designing reward functions, and transitioning existing systems toward learning-based approaches.

Management Consulting

Responsibilities

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

Qualification

Reinforcement LearningRisk ManagementPolicy EvaluationMachine LearningTechnical Leadership

Required

Has already 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
Has personally designed and enforced hard risk limits (capital caps, loss bounds, circuit breakers) in a live system, not just talked about 'risk-aware objectives.'
Has 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
Has 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.'

Benefits

Equity/Tokens

Company

Career Renew

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Funding

Current Stage
Early Stage
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