Member of Technical Staff - Applied ML Engineer

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 have hands-on experience optimizing and deploying local LLMs - running models like Llama, Mistral or other open-source LLMs locally through tools like vLLM, Ollama or LM Studio
• You're passionate about customizing ML models to solve real customer problems - from fine-tuning foundation models to optimizing them for specific use cases, you know how to make models work for unique requirements
• You have a knack for lightweight ML deployment and can architect solutions that work efficiently in resource-constrained environments - whether that's optimizing inference on CPUs, working with limited memory budgets, or deploying to edge devices
• You have a sharp eye for data quality and know what makes data effective - able to spot ineffective patterns in sample data, help design targeted synthetic datasets, and craft prompts that unlock the full potential of foundation models for specific use cases

Desired Experience :

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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.