Liquid AI

Liquid AI

Member of Technical Staff - ML Research Engineer, Data

San Francisco · Staff+

Sponsorship not specifiedDetected 444 days ago
PythonMachine LearningPyTorchData EngineeringComputer VisionLLMsResearch

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odds of building a lasting career here

36Risky
Cap-exempt (no lottery)0
Sponsors this role74
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 22 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Our Data team powers Liquid Foundation Models across pre-training, vision, audio, and emerging modalities.

Responsibilities

  • Our engineers run experiments, design ablations, and measure how data decisions move model quality.

Requirements

  • Strong Python skills with the ability to quickly comprehend problems and translate them into clean, working code
  • 3+ years relevant experience with an M.S., or 1+ year with a Ph.D. (5+ years with a B.S.)

Nice to have

  • Experience with synthetic data generation, data curation, or ML evaluation (designing evals, benchmarking, measuring data and model quality)
  • Open-source contributions or publications at NeurIPS, ICML, ICLR, or CVPR
  • You have built or improved data systems that measurably moved model performance
  • You have identified and integrated at least one external dataset that moved the needle
  • Public data sources are plateauing.
  • Model performance increasingly depends on purpose-built datasets.
  • We need ML-minded engineers who can collect, filter, and synthesize high-quality data at scale.
  • We treat data as a research problem, not an infrastructure problem.

Compensation

  • Competitive base salary with equity in a unicorn-stage company
  • We pay 100% of medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay

Benefits

  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

Company info

  • We are scaling rapidly and need exceptional people to help us get there.
  • WHAT WE'RE LOOKING FOR We need someone who: - Thinks like a researcher, ships like an engineer: We need people who form hypotheses, run experiments, and measure results.

This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.