Women Impact Tech

Site Reliability Engineer (SRE)

    Palo Alto, CA

About the Role:

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.

Excited to help us redefine how AI applications are built? Apply to be the newest Snorkeler!

As a Site Reliability Engineer, you’ll play a key role in making Snorkel Flow seamless to use for data scientists, engineers and operators alike. Your responsibilities will include designing complex multi-node applications with Kubernetes, building out an expansive observability platform for machine learning applications, and designing data pipelines that can handle massive workloads. This role is distinct in that it will require a deeper understanding of the technologies involved in machine learning, and exposure to state of the art MLOps technologies and principles.

Main Responsibilities

  • Design, prototype, and refine scalable infrastructure for operating Snorkel's machine learning pipeline at scale.
  • Enable engineers at Snorkel to succeed in the end-to-end software development process.
  • Automating infrastructure maintenance and management for tracking our fleet of customer deployments.
  • Work directly with ML engineers and customers to enable successful deployments of Snorkel Flow.

Preferred Qualifications

  • At least one year of professional engineering experience or work program equivalents in a relevant field.
  • Demonstrated self-motivation and willingness to dive into complicated DevOps challenges.
  • Exposure to machine learning fundamentals such as training data and models.
  • Familiarity with Kubernetes or other container orchestration tools in a production setting.
  • Ability to work in a fast-paced environment and strong technical communication skills.

If you applied to a position at Snorkel AI over 9 months ago, feel free to re-apply and let us know what you’ve been up to!

Be Your Best At Snorkel

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. 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 with a 100% match up to 5% of annual salary. 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.

Meet Snorkel AI

At Snorkel AI, we’re working to make AI practical for everyone. We’re building Snorkel Flow, our enterprise AI application development platform based on our cutting edge research on programmatic labeling.