Member of Technical Staff - ML Research Engineer, VLM Data

Liquid AI • San Francisco, CA

11d

About The Position

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. While San Francisco and Boston are preferred, we are open to other locations. This Role Is For You If: 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

Nice To Haves

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field
• Experience fine-tuning or customizing LLMs and VLMs
• 2+ years working in computer vision
• First-author publications in top ML or vision conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV)
• Contributions to popular open-source projects

Responsibilities

• Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data
• Watch out for the release of public high quality VLM datasets
• Create and maintain synthetic data augmentation pipeline to enhance VLM data quality
• Work with the multimodal vision team to run ablations on new dataset

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees