Staff Software Engineer, Snorkel AI
Infrastructure
$220-275k
+ Equity in the form of employee stock options
More information about location
3 days a week in office
The AI data research lab
Job no longer available
The AI data research lab
501-1000 employees
Job no longer available
$220-275k
+ Equity in the form of employee stock options
More information about location
3 days a week in office
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience
- 8+ years of experience in distributed systems and cloud-native applications
- Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)
- Deep expertise building services on Kubernetes (EKS, GKE etc)
- Regularly follows the best software engineering practices and hold a high bar for the team by leading design, code review and test plan reviews
- Proven ability to lead and mentor teams of engineers
- Strong development experience in Python or other language like Java, golang, scala etc
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. Extra points for someone who has hands on experience in building and managing large code bases with these tools
- Designed and implemented developer-friendly APIs or tools to boost developer productivity
- Familiarity in deployment, monitoring and maintenance of large-scale enterprise software products
- Follow the best software development practices, and hold the high engineering bar for the team by regularly leading design, code review and test plan reviews
- Experience working cross-functionally across teams including product, design, customer success and support
- Familiarity in developing and releasing infrastructure software for SaaS and on-prem platforms
- Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others
- [Nice to have]: Hands-on experience setting up and operating Kubernetes clusters in production at scale
- [Nice to have]: Experience leading teams building 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
- Deploy and maintain CI/CD and software release pipelines across multiple environments and continuously improve testing frameworks development tooling and deployment best practices
- Define and build our deployment strategy, internal and external, for SaaS-hosted, on prem, and managed service offerings
- Build and maintain Snorkel’s production and staging infrastructure, own our k8s and cloud strategy
- Design, develop, and maintain observability, alarms, and monitoring tools
- Participate in on-call responsibilities in rotation with the engineering team
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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