Software Engineer — Test

Reposted 8 Days Ago
2 Locations
Mid level
Artificial Intelligence • Machine Learning
The Role
As a Software Engineer, you will optimize testing environments, refine testing scripts, and improve overall engineering workflows in collaboration with multiple teams.
Summary Generated by Built In

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 Platform Quality Team , you will play a critical role in enabling the dev team in enhancing the quality and efficiency of the Snorkel AI products. You will focus on optimizing our testing environment, refining scripts and overall testing infrastructure. Collaborating closely with software engineers, researchers, and product managers, you will identify and implement strategic improvements that boost developer velocity, fortify our test infrastructure, and streamline engineering workflows.

Main Responsibilities

  • Be an integral part of daily validation of customer-impacting workflows
  • Focus on optimizing our testing environment to increase test velocity and stability
  • Refining scripts and  and enhancing the overall testing infrastructure
  • Collaborate closely with R&D, field engineers and  product managers to identify and implement strategic improvements to increase quality and stability of product
  • Work closely with DevOps teams to optimize test execution in CI/CD pipelines.
  • Work a hybrid schedule with three days per week in our SF office or Redwood City HQ

Preferred Qualifications

  • Bachelor's degree in Computer Science or related field
  • Experience with writing and debugging UI automation tests - JavaScript, Playwright, Python
  • Hands-on experience with CI/CD tools like  CircleCI, GitLab CI or similar, integrated with automated testing pipelines.
  • Deep understanding of software release processes, deployment pipelines, and version control systems
  • Able to quickly learn the workflows and perform exploratory testing
  • Experience with test case management systems: Jira or TestRail
  • Passion to create a better user experience by delivering high quality
  • Strong communication and coding skills
  • Proactive and positive attitude
  • 4+ years of professional software engineering experience
  • Prefer familiarity with established test case runners such as CircleCI
  • Preferable: Experience working with AI/ML products
  • Preferable: Experience working in a fast-paced, startup environment with dynamic requirements and an emphasis on rapid iteration and release cycles

The salary range for San Francisco is $200,000.00 - $220,000.00.

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.

Top Skills

CircleCI
Gitlab Ci
JavaScript
JIRA
Playwright
Python
Testrail
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The Company
HQ: Redwood City, CA
120 Employees
Hybrid Workplace
Year Founded: 2019

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

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