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Quality Assurance Engineer

Ultralytics

London

Hybrid

GBP 50,000 - 80,000

Full time

2 days ago
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Job summary

Ultralytics is in search of a passionate QA Engineer to uphold the quality and performance of our AI models and SaaS platform. This full-time role, based in our London office with a hybrid working model, entails designing test plans, automating tests using Python and PyTest, all while ensuring collaborative efforts across teams. Ideal candidates will have a robust background in QA with a keen obsession for quality and an eagerness to thrive in a fast-paced startup environment.

Benefits

Competitive Salary
Startup Equity
Hybrid Flexibility
Generous Time Off
Flexible Hours
New Apple MacBook and Apple Display
Supportive Team Environment

Qualifications

  • 5+ years of experience in Quality Assurance role with strong focus on test automation.
  • Expert proficiency in Python and testing frameworks like PyTest.
  • Hands-on experience with UI automation tools such as Selenium.

Responsibilities

  • Designing, developing, and executing comprehensive test plans and test cases.
  • Building and maintaining robust, scalable test automation frameworks.
  • Conducting performance testing and load testing.

Skills

Quality Assurance
Test Automation
Problem Solving
Collaboration
Attention to Detail

Tools

Python
PyTest
Selenium
FastAPI
MongoDB
Docker
GitHub Actions
GCP

Job description

Direct message the job poster from Ultralytics

Founder & CEO at Ultralytics | Democratizing vision AI

At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI.

Location and Legalities

This full-time QA Engineer position is based onsite in our brand-new Ultralytics office in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

What You'll Do

As a QA Engineer at Ultralytics, you will be the guardian of quality for the Ultralytics HUB platform and our suite of AI models. You will be responsible for ensuring our products meet the highest standards of performance, reliability, and user experience. Key responsibilities include:

  • Designing, developing, and executing comprehensive test plans and test cases for our SaaS platform and machine learning models.
  • Building and maintaining robust, scalable test automation frameworks using Python and PyTest.
  • Performing end-to-end testing of the Ultralytics HUB, from front-end UI validation with Selenium to backend API testing of our FastAPI services.
  • Validating data integrity and performance of our MongoDB databases.
  • Integrating automated tests into our CI/CD pipelines using GitHub Actions to ensure continuous quality.
  • Conducting performance testing and load testing to identify bottlenecks and ensure scalability in our GCP environment.
  • Performing manual testing for new features and complex user scenarios that are not easily automated.
  • Collaborating closely with developers and ML engineers to identify, document, and resolve defects using bug tracking systems.
  • Testing models across different deployment formats like ONNX and TensorRT.

Your meticulous attention to detail and passion for quality will be critical to Ultralytics' mission of delivering world-class AI tools.

️ Skills and Experience

  • 5+ years of experience in a Quality Assurance role, with a strong focus on test automation.
  • Expert proficiency in Python and experience with testing frameworks like PyTest.
  • Hands-on experience with UI automation tools such as Selenium.
  • Proven experience in API testing for RESTful services, preferably those built with FastAPI.
  • Strong understanding of SaaS platform testing, microservices architecture, and cloud environments (GCP preferred).
  • Experience with CI/CD principles and tools, particularly GitHub Actions.
  • Familiarity with containerization technologies like Docker.
  • Experience testing applications that use MongoDB or similar NoSQL databases.
  • A solid understanding of the machine learning lifecycle and experience testing AI-powered applications is a significant advantage.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment.
  • Strong communication skills for effective collaboration with cross-functional teams.

Cultural Fit - Intensity Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Compensation and Benefits

  • Competitive Salary: Highly competitive based on experience.
  • Startup Equity: Participate directly in Ultralytics growth and success.
  • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
  • Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
  • Flexible Hours: Tailor your working hours to suit your productivity.
  • Tech: Engage with cutting-edge AI projects.
  • Gear: Brand-new Apple MacBook and Apple Display provided.
  • Team: Become part of a supportive and passionate team environment.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering, Product Management, and Information Technology
  • Industries
    Software Development, Information Services, and Technology, Information and Media

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