Talent.com
Member of Technical Staff - ML Research Engineer, Foundation Model Data

Member of Technical Staff - ML Research Engineer, Foundation Model Data

Liquid AI, IncSan Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

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.

This Role Is For You If :

  • 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, midtraining, SFT, and preference optimization

Required Experience :

  • 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

    • Desired Experience :

  • 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

    • What You'll Actually Do :

  • 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

    • What You'll Gain :

  • 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

    • About Liquid AI

    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.

    Create a job alert for this search

    Member Of Technical Staff • San Francisco, CA, United States