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, 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

What You'll Gain:

• 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

About Liquid AI

Spun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.