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The role involves optimizing and productionizing GPU model inference pipelines, building scalable frameworks for Liquid's AI models, and addressing performance issues in multi-GPU settings.

As a Machine Learning Engineer/Scientist at Liquid, you'll build and evaluate Japanese language models, curate datasets, and ensure high-quality output for enterprise use cases.

Work on designing and optimizing AI models, collaborate on multimodal data systems, contribute to research, and enhance model performance across various platforms.

The role involves optimizing and deploying local large language models (LLMs), customizing ML models for real-world applications, and ensuring effective deployments in resource-constrained environments. You will work on AI systems that push the boundaries of technology and drive customer impact.

Lead the implementation of Liquid Foundation Models (LFMs) for enterprise customers by translating their needs into technical solutions, guiding teams, and managing end-to-end customer relationships.

The role focuses on managing strategic partnerships, developing go-to-market strategies, negotiating complex agreements, and mentoring junior team members within an AI-driven environment.

The role involves leading experiments to evaluate AI model performance, developing tools for rapid testing, and collaborating across teams to align model improvements with customer needs.

The Technical Recruiter at Liquid AI will source and attract talented individuals for complex technical roles, partner with hiring managers, and develop effective recruitment strategies. They'll focus on high-quality candidate experiences and improve hiring processes.