ML/AI Engineer at a seed-stage team working on one of the hardest problems in crypto - backed by tier 1 VCs. A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. 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. xhqgsiq PST/EST timezone overlap required.
