Woven Planet

Machine Learning Engineer, Human Centered AI

Woven Planet

full-time

Posted on:

Location Type: Hybrid

Location: TokyoJapan

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Tech Stack

About the role

  • 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)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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