Machine Learning Engineer designing and training lightweight ASR models for mobile devices at Plaud. Contributing to optimization, multilingual data management, and deployment collaboration.
About the role
- Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross-functional teams.
Responsibilities
- Design and develop scalable LLM-based solutions for human interaction AI systems
- Collect, curate, and prepare datasets for LLM product/services development
- Make technical judgment and architectural decisions while working with cross-functional teams
- Build and optimize ML/LLM pipelines from data ingestion to automated model serving
Requirements
- Master’s degree in Computer Science or a related field, or equivalent industry experience building complex AI systems
- Strong experience in machine learning and the framework (e.g. PyTorch, HuggingFace ecosystem, etc.)
- 4+ years of hands-on experience with Large Language Models and NLP technologies (e.g., transformers, prompt engineering, fine-tuning, embedding models)
- Business level skills in English and professional proficiency in Japanese sufficient to evaluate model outputs, curate datasets, and understand regional nuances. Native status is not required.
Benefits
- Competitive Salary - Based on experience
- Work Hours - Flexible working time
- Paid Holiday - 20 days per year (prorated)
- Sick Leave - 6 days per year (prorated)
- Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
- Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
- Housing Allowance
- Retirement Benefits
- Rental Cars Support
- In-house Training Program (software study/language study)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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