Hybrid Member of Technical Staff - ML Engineer / Scientist, JP Localization

Posted last month

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About the role

  • Identify, collect, and curate diverse high-quality Japanese text, audio, and multimodal datasets
  • Design methods to synthetically generate or augment Japanese training data when needed
  • Ensure datasets meet enterprise-grade quality, coverage, and compliance requirements
  • Train and fine-tune language and vision models to achieve state-of-the-art performance for Japanese enterprise use cases
  • Adapt existing LFMs for Japanese language, culture, and enterprise-specific workflows
  • Implement evaluation frameworks to benchmark model quality on Japanese datasets
  • Design evaluation datasets and metrics for Japanese enterprise applications
  • Conduct thorough error analysis and iteratively improve model performance
  • Ensure robustness, fairness, and reliability in Japanese-language outputs

Requirements

  • Native Japanese speaker
  • Experience building LLM pipelines and agents
  • Motivated to adapt foundation models to new languages, cultures, and enterprise workflows
  • Deep understanding of the Japanese model evaluation landscape
  • Familiarity with Japanese pre-training data sources
  • Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs

Benefits

  • Hands-on experience with state-of-the-art technology at a leading AI company
  • The opportunity to directly shape foundation model performance in one of the world’s most complex and nuanced languages
  • A collaborative, fast-paced environment where your work drives the next generation of LFMs

Job title

Member of Technical Staff - ML Engineer / Scientist, JP Localization

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

HybridJapan

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