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Member of Technical Staff - ML Scientist, Japanese Multimodal

Liquid AI· LAIJ
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Hybrid (Tokyo)Full-timePosted 2mo ago

About the role

ML Scientist focused on post-training to improve Liquid Foundation Models for Japan and global markets; owns the full experimental loop from data and training strategies to evaluation and checkpointing, collaborating with model, research, and infrastructure teams.

Responsibilities

  • Design and execute post-training strategies for language and multimodal models, including supervised fine-tuning, preference optimization, reinforcement learning, and distillation.
  • Build and curate high-quality training data using human, synthetic, and model-generated signals, with particular attention to Japanese-language and domain-specific capabilities.
  • Develop evaluations that expose meaningful capability and reliability gaps across Japanese and global use cases.
  • Conduct systematic error analysis and use the results to improve data mixtures, objectives, training methods, and model behavior.
  • Run controlled experiments and ablations, interpret results, and communicate clear recommendations.
  • Develop reliable, scalable training and evaluation pipelines in collaboration with model infrastructure teams.
  • Contribute methods, tooling, datasets, and findings that accelerate post-training work across Liquid AI.

Qualifications

  • Hands-on experience post-training modern language or multimodal models.
  • Strong understanding of machine learning fundamentals and current post-training and RL methods.
  • Solid engineering skills and proficiency with the open-source ML ecosystem.
  • Experience designing and running rigorous experiments, including baselines, ablations, and systematic error analysis.
  • Experience building, curating, or assessing training and evaluation data at a meaningful scale.
  • Ability to turn research ideas into reliable implementations and measurable model improvements.
  • Proficiency in English, including the ability to collaborate on complex technical work with global teams.
  • Experience leveraging agents to amplify your own work.

Skills

Required:Post-training ML / Fine-tuningExperiment design and analysisData curation for MLEngineering with open-source ML toolsCommunication and collaboration
Nice to have:Japanese language proficiency (nice-to-have)

Benefits

  • High-impact model work: Improve the capabilities and behavior of foundation models used in real products and deployments.
  • Direct access to core teams: Collaborate closely with researchers and engineers building Liquid's models and training systems.
  • Ownership in a growing market: Help define our post-training approach in Japan at a time of strong customer demand and rapid growth.
  • Supportive & growth-driven culture: Collaborative, feedback-rich environment with mentorship and career development.
  • Flexibility: Primarily remote work, flexible hours, and unlimited PTO.
  • Competitive rewards: Competitive salary, equity in a unicorn-stage company, and standard benefits for employees in Japan.
Last updated Aug 5, 2026. Interested? Apply on the company site.
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About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

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