Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity. At the RSA Conference, we were named “Most Innovative Startup 2024” by a panel of esteemed judges for helping enterprise and governments detect deepfakes.
With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.
Ability to automate manual smoke tests.
Drive the quality for a product/feature, assess risks to and ensure shipping features with a high quality bar.
Plan, develop, and execute test strategy across all of our core products
Lead quality assurance efforts that aligns with product objectives and develop scalable solutions.
Define quality metrics and implement measurements to determine test effectiveness, testing efficiency, and measure the overall quality of the product.
Partner with engineering and infrastructure teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product.
Experience in JS/Python & expert in Selenium and/or Cypress
5+ years of quality assurance and test engineering experience.
Hands-on experience with test planning, test designing and execution, performance and stress testing, implementing and maintaining quality test automation of both client and server systems.
Experience in testing and debugging web applications.
Organizational, coordination, and multi-tasking experience.
To fight deepfake fraud and misinformation.
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