Member of Technical Staff - ML Engineer / Scientist (JP Localization)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Member of Technical Staff - ML Engineer / Scientist (JP Localization) Tokyo, Japan Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. This Role Is For You If: - You like building LLM pipelines and agents for diverse use cases, and enjoy catching and fixing edge cases where LLMs may fail - You're a native Japanese speaker and want to further improve LLM capabilities in Japanese - You're motivated by the challenge of adapting foundation models to new languages, cultures, and enterprise workflows Desired Experience: - Deep understanding of the Japanese model evaluation landscape and familiarity with Japanese pre-training data sources - Experience using modeling and inference tools such as Huggingface inference, vLLM, and cloud APIs What You'll Actually Do: - 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,

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