Machine Learning Engineer, Human Centered AI

Woven Planet

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.

Posted 4/17/2026full-timeTokyo • 🇯🇵 JapanMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)

ATS Keywords

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Hard Skills & Tools

machine learningLarge Language Modelsnatural language processingPyTorchHuggingFacetransformersprompt engineeringfine-tuningembedding modelsdata ingestion

Soft Skills

technical judgmentarchitectural decisionscross-functional collaborationcommunication skills

Certifications

Master’s degree in Computer Science