Teams at Snorkel AI

Conduct foundational research on reinforcement learning and alignment for large language models. Develop preference datasets, reward models, verifiable rewards, and RL training pipelines using methods such as GRPO, RLHF, RLAIF, and DPO. Prototype scalable training recipes, collaborate with research and engineering teams, translate findings into customer-ready data products, and contribute to publications and internal knowledge sharing.

Own monthly, quarterly, and annual close processes; prepare and review journal entries, reconciliations, accruals, and audit support. Build commission and bonus models, manage project-based margin accounting, and oversee equity, debt, warrant, AP, expense, and spend accounting. Improve controls, documentation, automation, and ERP processes while mentoring accounting staff and partnering cross-functionally with Finance, Sales, People, Legal, Revenue, and Operations.

Leads development of frontier AI benchmarks and datasets in collaboration with academic and commercial partners. Designs evaluation datasets, translates research findings into customer-facing narratives, informs product and company strategy, and represents Snorkel through publications, talks, reports, and customer engagements. Requires expertise in AI/ML evaluation or NLP, rigorous experimental design, strong communication, cross-functional collaboration, and interest in AI data commercialization.