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Member of Technical Staff - Applied ML, Japanese Multimodal

Liquid AI · Tokyo

CHECKED 23H AGO

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At a glance

Highlights

  • Own customer AI projects from discovery through production deployment in Japan.
  • Make efficient foundation models perform reliably in real customer environments.
  • Turn field lessons into reusable tooling that improves models and roadmap.

What they offer

  • Competitive salary and equity in unicorn-stage company
  • Standard benefits for employees in Japan
  • Primarily remote work with flexible working hours
  • Unlimited paid time off
  • Travel to the US and relevant conferences

Ideal candidate

End-to-end applied ML engineer who loves customer-facing deployment work and owns outcomes from ambiguous discovery to reliable production. Rigorous, pragmatic builder who thrives across teams and cares about efficiency and real-world impact.

Requirements

  • Strong engineering skills building, testing and shipping production-quality ML systems
  • Hands-on deployment of language models, multimodal models or deep learning beyond prototypes
  • Experience with model serving, profiling and inference optimization
  • Proficiency with the open-source ML ecosystem
  • Experience designing evaluations and driving improvements via error analysis
  • Comfort leading customer technical discussions and shipping ambiguous requirements
  • Professional proficiency in English
remote policy
Primarily remote within Japan with Tokyo office 1-2 times per week

Lab profile

About Liquid AI

MIT CSAIL spinout building efficient general-purpose AI for cloud to edge.

What they build

  • Liquid Foundation Models
  • LFM2.5-Audio

Known for

  • Efficiency-first foundation models
  • Data center to on-device deployment
  • Low latency with minimal memory usage
  • Liquid Neural Networks architecture

Key facts

  • Spun out of MIT CSAIL
More about Liquid AI →
Apply on the lab’s site ↗