Member of Technical Staff - ML Research Engineer, Data

Liquid AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hands-on experience with state-of-the-art technology

Collaborative, fast-paced environment

Opportunities for growth and impact

Job summary

A leading AI technology firm in California is seeking a highly skilled professional for foundation model development. The ideal candidate will focus on gathering and generating high-quality text data through advanced data engineering techniques. Candidates should have strong expertise in machine learning frameworks, data curation, and Python programming, with a minimum education of a B.S. plus five years of relevant experience or higher. This position offers a unique opportunity to work at the forefront of AI technology in a dynamic team environment.

Qualifications

• Experience curating, cleaning, augmenting, and generating synthetic data.
• Strong programming skills with an emphasis on clean, maintainable, and scalable code.
• Ability to write and debug models in popular ML frameworks.

Responsibilities

• Create and maintain data cleaning, filtering, selection pipeline for >100TB of data.
• Create crawlers to gather datasets from the web where public data is lacking.
• Write and maintain synthetic data generation pipelines.

Skills

Dataset Engineering

Machine Learning Expertise

Software Development

Education

B.S. + 5 years or M.S. + 3 years or Ph.D. + 1 year of experience

M.S. or Ph.D. in Computer Science, Electrical Engineering, Math

Tools

Python

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.