Member of Technical Staff - ML Research Engineer, VLM Data - Remote

Overview

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.

In Short

• You want to play a critical role in the development of Liquid Vision-Language models
• Focus on gathering high-quality vision-language midtraining and SFT datasets

Requirements

• B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experience
• Expertise in data curation, cleaning, augmentation, and synthetic data generation techniques
• Ability to write and debug models in popular ML frameworks, and experience working with LLMs and VLMs
• Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable code

Benefits

• Hands-on experience with state-of-the-art technology at a leading AI company
• A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs