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Device-native foundation models and deployment software.

Co-founder and CEO

Co-founder and CTO

Breaking the Safety Barrier: Insilico Medicine Nominates ISM1354, the Next-Generation Small Molecule GIPR Antagonist

Qualcomm Wants Your Phone to Think for Itself

Liquid AI puts a personal context layer for AI agents on Snapdragon chips

Liquid AI, in Collaboration with Qualcomm Technologies, Brings Personal AI Context to Devices Powered by Snapdragon

Member of Technical Staff - Inference Systems

Liquid AI builds general-purpose AI systems designed to run efficiently across data center and on-device hardware. The Member of Technical Staff will develop inference engines and benchmarking infrastructure, port models across runtimes and frameworks, verify correctness, and conduct technical evaluations with external partners.

Member of Technical Staff -  Inference Systems

Member of Technical Staff - GPU Performance Engineer

Liquid AI, spun out of MIT CSAIL, builds general-purpose AI systems that run efficiently across deployment targets. The role involves designing and shipping custom CUDA kernels, profiling at the hardware level, and integrating research ideas into production code to improve performance in real pipelines.

Liquid AI is a company spun out of MIT CSAIL that builds general-purpose AI systems for various deployment targets. They are seeking a GPU Performance Engineer to design and ship custom CUDA kernels, optimize workflows, and collaborate with researchers to improve performance in AI models.

Research Engineer

Liquid AI is a company focused on advancing the science of building intelligent systems through its research accelerator, Liquid Labs. They are seeking a Research Engineer to design and implement novel architectures and strategies for efficient AI, bridging the gap between research and practical engineering.

Liquid Labs - Research Engineer

Member of Technical Staff - Multi-Modal - Audio

Liquid AI is a company spun out of MIT CSAIL that develops general-purpose AI systems. The role involves building and scaling audio model training pipelines and systems, with a focus on real-time performance and customer deployments.

Strategic Business Development

Liquid AI is a foundation-model company developing small, efficient AI models for devices outside traditional data centers. The Strategic Business Development role owns the full enterprise sales cycle, builds pipeline, sells to technical and executive buyers, and helps establish the company’s repeatable go-to-market motion.

Member of Go-to-Market Staff

Liquid AI is a foundation-model company building general-purpose AI systems that can run across devices and infrastructure without internet access. The Member of Go-to-Market Staff will help establish a repeatable go-to-market motion by generating pipeline, leading deals, managing customer relationships, gathering market feedback, and partnering on growth initiatives and product launches.

Member of Technical Staff - Distributed Training Engineer

Liquid AI is a company spun out of MIT CSAIL that builds general-purpose AI systems for various deployment targets. They are seeking a Distributed Training Engineer to design, implement, and optimize infrastructure for large-scale training, focusing on runtime, performance, and reliability.

Member of Technical Staff - ML Research Engineer, Data

Liquid AI builds general-purpose AI systems designed for efficient deployment across data centers and on-device hardware. The ML Research Engineer will develop and evaluate large-scale data pipelines, synthetic data systems, and dataset strategies for pretraining, post-training, vision, audio, and multimodal foundation models.

Member of Recruiting Staff - Technical Recruiter

Liquid AI, spun out of MIT CSAIL, builds general-purpose AI systems and partners with enterprises across various sectors. They are looking for a Technical Recruiter to own full-cycle hiring, define new roles, and coach stakeholders in a fast-paced, ambiguous environment.