Lead customer projects for major Japanese companies from scope and architecture through data pipelines, implementation, rollout and operations, coordinating departments. Remote work is available.
About this role
This Machine Learning Engineer joins the SaaS Product Team and works on Speeda, an economic-information platform. The team includes researchers and software engineers, and the role turns machine-learning work into product capabilities for users.
With product managers, the engineer defines problems, builds machine-learning infrastructure and training pipelines, implements models, and delivers inference APIs. Duties include improving existing products, developing multi-label classification across products, and creating LLM-based company-information extraction. The team focuses on natural language processing and uses Python, CI/CD, pair programming, and test-driven development.
Required qualifications are foundational software-development knowledge, including version control, cloud, and object-oriented concepts; experience with simple web applications or Web APIs; and professional knowledge and experience in machine learning or natural language processing. Applicants must also be able to discuss in person in Japanese at approximately JLPT N1 level and be willing to use or try TDD and pair programming.
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