We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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 Software Engineer on the Infrastructure team, you'll accelerate the Snorkel AI team and our customers by improving our developer platform and services for user and data management across the stack. You’ll work closely with other engineers, researchers, and product management to align on the highest leverage improvements for CI/CD, cloud infrastructure, deployment, security, authentication/authorization, and more.
Main Responsibilities
- Design, build, and maintain services and deployment for Snorkel’s enterprise platforms
- Design, build, and improve observability and alerting for Snorkel’s enterprise platforms
- Contribute to Snorkel’s in-house fleet management software for installation and upgrades of deployments for Snorkel’s enterprise customers
- Build and improve Snorkel’s production and staging infrastructure; own our k8s and cloud strategy
- Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same
- Deploy and optimize CI/CD pipelines across multiple environments and continuously improve development and deployment best practices
- Collaborate with enterprise customers to understand product use cases and translate into engineering specifications, and deliver high-quality solutions
- Participate in on-call responsibilities in rotation with the engineering team
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office
Minimum Qualifications
- Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience
- Strong development and debugging skills in Python
- 3+ years of experience in software development (including academic experience)
- Understanding of Kubernetes ecosystem
Preferred Skills
- Extremely well versed in building and managing cloud infrastructure for enterprise platforms on (AWS, GCP, Azure) and services like EC2, EKS, VPC etc
- Experience in one or more of the build tools like Bazel, Gradle, Make etc.
- Familiarity in developing and releasing infrastructure software for SaaS products
- [Nice to have]: Hands on experience in CI/CD and test infrastructure for very large and complex code bases
- [Nice to have]: Experience with large scale distributed computing systems for ML Training or Serving, eg: Ray, Spark, Tensorflow etc
- [Nice to have]: Hands-on experience in creating and maintaining metrics and dashboards on observability platforms such as New Relic, DataDog, Chronosphere, or similar tools
- [Nice to have]: Experience building services and infrastructure for Machine learning and AI Systems
The salary range for this position based in the San Francisco Bay Area is $200,000.00 - $230,000.00. All offers include equity compensation in the form of employee stock options.
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Be Your Best At Snorkel
Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.
Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.
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.
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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
