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
7 open positions
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.
Build end-to-end product experiences that make sophisticated AI workflows simple, working across React and TypeScript front ends, APIs, and supporting services. This hybrid role offers meaningful ownership of high-impact enterprise products in San Francisco or New York City.
Applied AI Engineer delivering customer-facing generative AI and machine learning solutions for federal and national-security customers with active Top Secret clearance. The role combines hands-on AI implementation, customer enablement, and development of reusable applied-AI tooling and workflows.