AI Advocate role focused on open-source and research communities, acting as the primary technical voice for Snorkel AI. Responsibilities include creating technical content, leading open-source efforts, advancing AI evaluation and benchmarking, driving conference presence, and partnering with research teams. The role emphasizes translating Snorkel's data-centric AI methodology into practical applications and community engagement.

Research Scientist role focused on designing datasets for frontier model training and evaluation, translating benchmark insights, and staying at the forefront of LLM evaluation research. This is a customer-facing role that collaborates cross-functionally and influences company roadmap and external research.

Research Scientist role focused on reinforcement learning for training and aligning large language models, with a mission to transform expert knowledge into specialized AI at scale for enterprises. The role involves researching and implementing RL techniques, designing data pipelines for training signals, prototyping RL training recipes, and contributing to customer-ready data products.

Research Scientist at Snorkel AI focused on designing, implementing, and validating novel AI techniques for data development, such as synthetic data generation using LLM as a Judge. The role involves prototyping and building end-to-end workflows, integrating research into scalable systems, and collaborating with partners to test solutions in applied settings. Emphasis on rapid iteration and driving innovation from research into production.

This role focuses on partnering with frontier AI research labs to design datasets and environments that improve model performance. It involves scoping training data needs, designing RL environments, developing evaluation frameworks, probing model behavior, and translating research objectives into technical plans. The role is customer-facing and requires strong technical and research credibility.

Research Scientist role focused on designing, implementing, and validating novel AI techniques for data development, such as synthetic data generation using LLM as a Judge. The role involves prototyping and building end-to-end workflows, integrating research ideas into scalable systems, and collaborating with partners to productionize prototypes. Emphasis on applied research and system-building in an enterprise AI context.

Director, Forward Deployed Researcher on the Data-as-a-service team. This player-coach role involves people leadership (hiring, coaching) and hands-on technical work on strategic accounts, focusing on data problems for frontier AI labs. Responsibilities include scoping training data needs, designing RL environments, developing evaluation frameworks, and translating research objectives into technical plans. The role requires partnering with sales leadership and cross-functional teams, setting technical bars, and building scalable processes.

Snorkel AI is seeking a Senior Manager of Research to lead a team focused on data-centric research for next-generation foundation models. The role involves team building, frontier data research, strategic roadmapping for AI data bottlenecks, and operational excellence. The ideal candidate has 5+ years in applied AI/ML research, 4+ years managing technical teams, and practical experience with LLMs and agentic workflows.