Snorkel AI
Snorkel AI builds tools and services for developing high-quality training, post-training, and evaluation data for LLMs and enterprise AI systems. It sells an enterprise platform plus expert-built datasets and benchmarks, and offers custom data development for AI labs, large enterprises, and federal customers. Founded in 2019 out of the Stanford AI Lab and headquartered in San Francisco, it is privately held.
Open Positions at Snorkel AI
10 open positions
Senior Software Engineer building scalable backend, distributed compute, data, and AI systems that power frontier-model evaluation and development. The role combines large-scale systems ownership with agentic and LLM application engineering.
Staff Applied AI Engineer supporting pre-sales engagements by discovering customer needs, designing GenAI solutions, and building tailored demos and pilots. The role combines hands-on technical prototyping with executive-level customer partnership and proposal development.
Build backend-focused product capabilities that make complex data, agent benchmarking, and workflow automation easier for users. This Senior/Staff role offers substantial ownership from user problem discovery through production, in a hybrid San Francisco or New York City environment.
Staff Applied AI Engineer who partners directly with enterprise customers to design, build, and deploy advanced GenAI and machine learning solutions. The role also turns repeatable customer challenges into reusable AI tooling, workflows, and best practices.
Build the systems that make frontier AI data generation and evaluation faster, cheaper, and more rigorous. This role combines ML engineering, experimentation, model routing, fine-tuning, and research-to-production work with significant founding-team impact.
Build the infrastructure that enables large-scale AI experimentation, evaluation, simulation, and production operation of LLM and agentic workloads. This role combines distributed systems, cloud infrastructure, and applied AI platform engineering across multiple hiring levels.
Lead customer-facing technical engagements that use synthetic data to improve AI model training, evaluation, and performance. You will design production-grade data pipelines, partner directly with AI labs and enterprises, and turn successful solutions into reusable capabilities.
Lead customer-facing technical delivery for computer-use agents, building task environments, datasets, evaluators, and production solutions for leading AI labs and enterprises. This role combines forward-deployed engineering, agent evaluation, and technical leadership across ambiguous, high-impact engagements.
Build foundational platform infrastructure and backend services that power Snorkel’s data pipelines, agent systems, governance, and customer deployments. This role offers substantial ownership over an event-driven architecture shift and the systems that enable reliable, scalable AI data delivery.
Snorkel is seeking a Security Engineer to strengthen security across AWS cloud infrastructure, developer platforms, and AI/ML product architectures. The role combines cloud security architecture, automation, incident response, and cross-functional security enablement.