QA Engineer (Machine Learning and Generative AI)
Shibuya, Tokyo, Japan
SmartNews
Learn about job opportunities at SmartNews, the app delivering quality information to millions of users.About SmartNews
SmartNews is a global leader in redefining information and news discovery, committed to providing users with accurate, timely information and supporting quality journalism. We combine the power of our unique machine-learning technology with the expertise of our first-rate editorial team to bring news that matters to millions of users from our over 3,000 global publishing partners.
Founded in 2012 in Tokyo, Japan, SmartNews has offices in Tokyo, San Francisco, Palo Alto, New York, and Singapore.
The Mission
Empower Smartnews’ QA processes with AI-driven automation to accelerate testing, reduce manual effort, and ensure a seamless user experience.
Your responsibilities:
- 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
Minimum requirements
- BS degree or higher in Computer Science, Computer Engineering, or a related field (Physics, Mathematics, etc.) or 3+ years experience (open to multiple levels)
- Recent graduates that can start full-time from April 2025 at the latest are welcome to apply.
- 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
Nice to have skills/experiences
- Experience in AI-powered test automation
- Knowledge of prompt engineering and fine-tuning LLMs for QA purposes
- Understands Agile, SDLC and modern CI/CD best practices
Working Condition
- Office Location: Tokyo
Benefits
- Visa sponsorship and overseas relocation support available for eligible candidates
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile CI/CD Computer Science Engineering Generative AI LLMs Machine Learning Mathematics NLP Physics Pipelines Prompt engineering Python PyTorch SDLC TensorFlow Testing TypeScript
Perks/benefits: Career development Health care Relocation support
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