Liquid Labs - Research Engineer

About the role

Join a small, high-context team exploring the limits of adaptive intelligence. Design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do. Operate at the intersection of research and engineering—translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what’s possible.

About Liquid Labs

Liquid Labs gives a formal home to Liquid AI's foundational research. It drives fundamental breakthroughs in the science of building intelligent, personalized, and adaptive machines. Founded from MIT CSAIL, it extends the lineage of foundational work on Liquid Neural Networks, leading to scalable, multimodal models for real-world deployment in resource-constrained environments. Liquid Labs works closely with Liquid's core foundation model and systems teams to translate theory into deployed capability, defining a new generation of intelligent systems that are both powerful and efficient.

Qualifications

• Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
• Experience in machine learning research or production-grade ML systems
• Moves fast from paper to prototype—curiosity backed by precision
• Care about efficiency, scalability, and elegant system design as scientific principles
• Value small, deep-technical teams where impact is immediate and measurable
• Track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), demonstrating original contribution and research rigor

Open Science and Impact

Liquid Labs reinforces its commitment to transparent, reproducible, open research. It publishes through technical reports, architectural deep dives, ablations, and model releases, advancing the broader science of efficient AI while translating breakthroughs into production-ready systems.

Why Liquid Labs

For researchers who build. Those who care about lasting impact more than publication count, but who hold themselves to the same scientific standard. Move fast, think deeply, and measure success by the systems that endure. There is no application deadline. We review candidates on a rolling basis.