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