Liquid AI
The Research Engineer role at Liquid Labs involves designing and implementing innovative architectures and training methods focused on adaptive intelligence within efficient AI. Located at the intersection of research and engineering, the position requires proficiency in Python and familiarity with frameworks like PyTorch, JAX, or TensorFlow, as well as experience in machine learning research or production systems. The role emphasizes publishing research outcomes to advance the field while developing scalable, production-ready systems. Candidates should showcase their impact through original contributions to high-tier scientific venues.
Headquarters
Cambridge, Massachusetts, United States
Company Size
1-10 employees
Founded
2023
Liquid AI is a technology company that specializes in creating efficient, general-purpose AI solutions at scale. They offer Liquid Foundation Models (LFMs), which are a new class of generative AI that deliver state-of-the-art performance while maintaining a smaller memory footprint and efficient inference capabilities. Their product suite includes the LEAP platform for edge AI deployment, and Apollo, a private AI chat application aimed at delivering AI functionality across devices. With a focus on customizability and effective deployment, Liquid AI aims to empower businesses and individuals with advanced AI tools.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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