QA Engineer (Machine Learning and Generative AI)
Description For QA Engineer (Machine Learning and Generative AI)
SmartNews, a global leader in news discovery founded in 2012, is seeking a QA Engineer specializing in Machine Learning and Generative AI. This role combines quality assurance expertise with cutting-edge AI technology to enhance testing processes. The position offers an opportunity to work with a company that leverages machine-learning technology to deliver accurate news to millions of users.
The role focuses on developing and implementing AI-powered QA tools to streamline testing processes and improve automation. You'll be working with modern AI/ML frameworks and collaborating across teams to enhance quality assurance through artificial intelligence. The position requires strong technical skills in machine learning, particularly with LLMs, and programming proficiency in languages like Python or TypeScript.
This hybrid position is based in Tokyo, Japan, offering a unique opportunity to work in one of Asia's most dynamic tech hubs. The company provides comprehensive benefits including visa sponsorship and relocation support for international candidates, making it an attractive opportunity for global talent. With offices across major tech hubs including Tokyo, San Francisco, and Singapore, SmartNews offers a truly international working environment.
The ideal candidate will combine technical expertise in AI/ML with quality assurance knowledge, bringing innovative solutions to automate and improve testing processes. This role presents an excellent opportunity for those interested in applying AI technology to practical quality assurance challenges while working for a company at the forefront of news technology.
Responsibilities For QA Engineer (Machine Learning and Generative AI)
- Develop AI-powered QA tools to improve automation, test generation, and defect detection
- Collaborate with QA, engineering, and product teams to identify AI-driven opportunities for quality improvements
- Leverage AI driven test frameworks that integrates with existing CI/CD pipelines
- Monitor and improve AI models to ensure reliability and effectiveness in QA applications
Requirements For QA Engineer (Machine Learning and Generative AI)
- BS degree or higher in Computer Science, Computer Engineering, or related field (Physics, Mathematics, etc.) or 3+ years experience
- Proficient in Machine Learning and Natural Language Processing, particularly with LLMs
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar
- Proficient in programming language like Typescript, Python, or similar
- Understanding of QA, software testing and automation methodologies
- Strong problem-solving skills and ability to work in a fast-paced environment
Benefits For QA Engineer (Machine Learning and Generative AI)
- Annual health check covered by the company
- Visa sponsorship and overseas relocation support available for eligible candidates
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