Member of Technical Staff - ML Research Engineer, Data

Work With Us

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.

• You want to play a critical role in our foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, mid training, SFT, and preference optimization

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

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

• Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data
• Watch out for the release of public dataset on huggingface and other platforms
• Create crawlers to gather datasets from the web where public data is lacking
• Write and maintain synthetic data generation pipelines
• Run ablations to assess new dataset and judging pipelines

• 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

Spun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services.

And we’re just getting started.