Liquid AI
Member of Technical Staff - ML Research Engineer, Data
San Francisco · Staff+
Sponsorship not specifiedDetected 359 days ago
PythonMachine LearningPyTorchData EngineeringComputer VisionLLMsResearch
About the role
- Our Data team powers Liquid Foundation Models across pre-training, vision, audio, and emerging modalities.
- Model performance increasingly depends on purpose-built datasets.
- We need ML-minded engineers who can collect, filter, and synthesize high-quality data at scale.
Responsibilities
- Our engineers run experiments, design ablations, and measure how data decisions move model quality.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
Requirements
- Strong Python skills with the ability to quickly comprehend problems and translate them into clean, working code
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
- 3+ years relevant experience with an M.S., or 1+ year with a Ph.D. (5+ years with a B.S.)
- Solid ML fundamentals: experience training, evaluating, and iterating on models (PyTorch preferred)
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
- Financial: 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.
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This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.