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 Senior Full Stack Engineer at Snorkel, you’ll deliver robust features that power our Expert Data Collection Platform, a critical engine for high-quality ML development. You will build end-to-end capabilities that enable domain experts to provide high-signal data for training and refining state-of-the-art models. 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 that bridges the gap between human expertise and machine learning.
About the Role
- Design and develop key interfaces for our expert data collection workflows, focusing on high-efficiency labeling, data analysis, and sophisticated visualization tools.
- Prototype, optimize, and maintain scalable services to power complex data collection pipelines and expert-in-the-loop workflows.
- Build proactively with empathy for both our customers and the subject matter experts using our tools, constantly iterating to balance innovative research with practical solutions.
- Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.
- Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
- 6+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures.
- Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
- Experience prototyping and iterating on user interfaces with modern React (ES7+, React hooks, TypeScript).
- Expertise designing REST APIs for internal services and developers.
- Ability to work in a fast-paced environment with strong technical communication skills.
- Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Snorkel AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snorkel AI and has not been reviewed or approved by Snorkel AI.
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Healthcare Strength — Comprehensive medical, dental, and vision plans cover employees and dependents, with disability and life insurance included. A yearly wellness stipend supplements core health coverage.
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Leave & Time Off Breadth — Unlimited vacation, paid holidays, and paid sick days are offered. Company-wide rest days are also referenced, expanding time-off support.
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Parental & Family Support — Parental leave for birthing and non-birthing parents and childcare benefits are provided. Flexible work arrangements and remote-friendly perks further support family needs.
Snorkel AI Insights
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What We Do
Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.
Why Work With Us
The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology
