StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing ML in their production pipelines. We’re seeking a QA Engineer with Data Science/Statistics background to help drive quality of an enterprise-grade, production-ready, advanced AI platform for the semiconductor and electronics manufacturing industries. We look for people who are self-motivated and passionate about the transformative potential of AI.
- Design and implement unit and integrations tests covering machine learning models with variety of data sets
- Create statistical robustness tests for trained models
- Create simulated dataset replicating real-world scenarios
- Debug and define corrective action
- Create detailed, comprehensive and well-structured test suites using programming languages such as Python or Java
- Track quality assurance metrics
- Create UI test automation suites for web based applications