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Описание вакансии
Текст:
TL;DR
QA Engineer (AI): Testing and improving the reliability of Runway's AI creation suite across web, mobile, public API, and developer-facing surfaces with an accent on automated end-to-end coverage, risk-based testing, and AI-assisted workflows. Focus on building agent-powered testing processes, investigating code and bugs, and maintaining reliable continuously running test suites.
Location: Remote in the United States; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $110,000–$150,000 per year for candidates in the U.S.
Company
Runway builds AI systems and creative tools for world simulation, including AI-powered video generation.
What you will do
- Own quality for product areas from development through launch.
- Test AI-powered video generation products and identify risks and edge cases with Product, Design, and Engineering.
- Write, debug, and maintain automated end-to-end tests for web and mobile applications.
- Use AI agents to investigate code, triage bugs, debug tests, explore the product, and expand automated coverage.
- Create detailed test cases and maintain the test case library.
- Coordinate with external third-party testers and test mobile apps, public APIs, and developer-facing surfaces.
Requirements
- Experience testing complex modern web and mobile applications.
- Hands-on experience with automated end-to-end testing, debugging failures, Git, and code review.
- Strong knowledge of QA best practices, risk-based prioritization, test planning, and actionable bug reporting.
- Experience using AI tools and building AI-assisted testing workflows.
- Self-directed, async-friendly communication skills and strong empathy for users of creative products.
- Understanding of the functionality and output quality of prominent AI audio, image, and video generation technologies.
Culture & Benefits
- Collaborative environment involving Product, Design, Engineering, and external testers.
- Commitment to diversity, inclusion, and equal opportunity.
- Pay equity and compensation based on market rates, experience, skills, qualifications, and internal equity.
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