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Senior Quality Assurance Engineer

Ultralytics · Shenzhen, Guangdong, CN · Madrid, Madrid, ES

Applied AIonsitesenior
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At a glance

Highlights

  • Ensure quality, reliability and performance of Ultralytics Platform
  • Contribute to world's best YOLO AI models for computer vision
  • Help deliver top-tier machine learning tools to the community

What they offer

  • Equity packages to participate in company growth
  • Hybrid flexibility: 3 days in-office, 2 days remote
  • 24 days vacation plus birthday off and local holidays
  • Flexible working hours tailored to productivity
  • Brand-new Apple MacBook, Studio Display and AirPods Pro 3
  • Work on cutting-edge AI computer vision technology

Ideal candidate

Detail-obsessed quality champion passionate about AI who thrives in dynamic, high-intensity environments with relentless pace, absolute ownership and a drive for extraordinary results.

Requirements

  • 5+ years of experience in QA, test automation, or software engineering
  • Strong proficiency in TypeScript, Python, or both
  • Deep expertise with Playwright for browser automation and end-to-end testing
  • Solid understanding of API testing (REST/JSON) and backend integration testing
  • Experience with Next.js, React, serverless deployments and GCP
  • Proficiency with CI/CD with GitHub Actions and pipeline optimization
  • Experience in monorepo environments with Turborepo and Bun
  • Familiarity with MongoDB and database testing strategies
  • Proven ability to establish testing standards and mentor team members
  • Strong problem-solving skills and clear cross-team communication
remote policy
Hybrid: 3 days in-office, 2 days remote

Lab profile

About Ultralytics

Develops Ultralytics YOLO models for computer vision and AI innovation.

What they build

  • Ultralytics YOLO
  • YOLO AI models

Known for

  • Computer vision
  • YOLO model development
  • Embedded vision
More about Ultralytics →
Apply on the lab’s site ↗

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