About the role
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models. Main
Responsibilities Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention. Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems. Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality. Prototype, optimize, and maintain scalable services to power complex data user management pipelines. Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines. Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline. Build proactively with empathy for both customers and subject matter experts using our tools. Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams. Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling. Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
