At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organizations, to empowering scientists, doctors, and journalists — we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re building Snorkel Flow to bring our technology to everyone!
 
Building Snorkel Flow requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant and intuitive interfaces (both visual and programmatic), state-of-the-art ML modeling techniques, and best practices for seamless deployment. Modern AI approaches require large labeled training datasets to learn from. While traditional approaches typically rely on armies of human annotators to label by hand, Snorkel Flow empowers users to programmatically label and build training data sets to drive a radically faster, more flexible, and higher quality end-to-end AI development process. Snorkel Flow is an end-to-end development platform, complete with a GUI and powerful programmatic interfaces for driving the development process for full AI application workflows: from preprocessing, to programmatic training data creation, to ML model training, to analysis, and deployment. It's the data-first platform for enterprise AI.
 
Overview
As a Staff Full Stack Engineer at Snorkel, you’ll deliver robust features that power Snorkel Flow’s core ML development platform, including end-to-end capabilities to programmatically label training data, train models, deploy and monitor them, and analyze production data. Using a combination of strong programming skills and a creative, user-focused mindset, you will have full ownership and responsibility for building, shipping, and maintaining innovative new functionality across the stack.
 
Location
Hybrid schedule with 1 or 2 days per week in our Redwood City HQ.
 
Main Responsibilities

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

• Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays

Must haves

• Expertise designing REST or GraphQL APIs for internal services and developers

• 3+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

Nice to haves

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Ability to work in a fast-paced environment and strong technical communication skills

• Self-motivation, positive mental attitude, and eagerness to learn