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- Own user studies and functional testing in your area of responsibility. Collaborate with cross-functional partners to escalate results to influence model or system changes.
- Work closely with Data Science teammates to design and execute live test procedures, aggressor searches, and user studies — planning and running data collections at varying scales, from small, exploratory studies to larger, statistically powered collections.
- Focus on end-to-end system performance to evaluate the true customer experience, using a deep technical understanding of various features along with available telemetry and statistical significance to characterize study and test results.
- Design, document, and run integrated-system tests, and build automation tools to improve testing abilities.
- Report status on tests, projects, and innovation regularly.
- Be a vocal proponent for quality, both internally and externally.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, with a minimum of 3 years in an end user quality-focused role.
- Good understanding of QA methodologies, such as test planning, scheduling, and regression.
- Strong programming/scripting skills with hands-on experience in Python or equivalent language.
- Experience testing products utilizing computer vision, machine learning, or related areas.
- Experience being accountable for the quality of a technical area and demonstrated understanding of how it works, working with partners across different teams and organizations to clearly communicate status and raise critical issues.
- Ability to think analytically, reduce data sets, problem-solve, and innovate.
- 5 or more years of industry experience in a quality-focused role, preferably working on consumer electronics or connected/smart home devices.
- Strong background in statistical experimental design and hypothesis testing, applied to interpreting system-level test results.
- Experience managing the operational side of participant studies — recruiting, consent and privacy protocols, and scheduling logistics — for both small-scale and larger-scale collections.
- Data analysis, visualization, and reporting experience with tools such as Tableau.
- Understanding of how to test and quantify performance of sensing technologies such as camera, IMU, capacitive, environmental, light, motion, radar, optical, acoustic, and evaluate user impact and performance.
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🇬🇧 English