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.