Software Engineer, Snorkel AI

Infrastructure

$200-230k

All offers include equity compensation in the form of employee stock options

AWS

Docker

Kubernetes

GCP

Python

Gradle

Tensorflow

Azure

Spark

Bazel

Datadog

Mid and Senior level

San Francisco Bay Area

3+ days a week in office

The AI data research lab

Job no longer available

The AI data research lab

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Job no longer available

$200-230k

All offers include equity compensation in the form of employee stock options

AWS

Docker

Kubernetes

GCP

Python

Gradle

Tensorflow

Azure

Spark

Bazel

Datadog

Mid and Senior level

San Francisco Bay Area

3+ days a week in office

501-1000 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Job

Company

Role

Who you are

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

Desirable

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

What the job involves

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
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

Our take

Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.

Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.

The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company;'s engineering, research, and go-to-market efforts.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

May 2025

$100m

SERIES D

Aug 2021

$85m

SERIES C

Total funding: $235m

Company benefits

Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.

Company HQ

Centennial, Redwood City, CA

Leadership

Alex Ratner

(Co-Founder & CEO)

Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.

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