ML/AI Engineer

ML/AI Engineer at a seed-stage team working on one of the hardest problems in crypto - backed by tier 1 VCs. You are the person who takes ML research and turns it into production systems that work. Training pipelines, eval harnesses, inference services, synthetic data generation, feedback loops. Not a research role. Not a backend integration role. The full path from prototype to deployed system. Needed: -> proven ability to ship ML models into real products, not just notebooks and demos -> reinforcement learning experience: applied RL, DPO, GRPO, reward modeling, preference optimization -> LLM post-training workflows: SFT, preference datasets, rejection sampling, multi-candidate eval -> you can read a paper, decide if it's useful, build the first version, and keep it reliable as requirements change Crypto or DeFi familiarity a strong plus. PST/EST timezone overlap required.