Member of Technical Staff - ML Research Engineer, Data

Highlights

• Build data pipelines powering Liquid foundation models across modalities.
• Design synthetic data generation systems to push model performance.
• Run evaluations and ablations measuring dataset impact on quality.

What they offer

• Equity in a unicorn-stage company
• 100% medical, dental, and vision premiums for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO plus company-wide Refill Days

Ideal candidate

Research-minded engineer who obsesses over data quality and thrives in ambiguity, owning pipelines end-to-end and measuring how data choices move model quality.

Requirements

• Strong Python skills with ability to translate problems into clean, working code
• Solid ML fundamentals with experience training, evaluating and iterating on models
• Track record of learning new technical domains quickly
• 3+ years relevant experience with M.S., or 1+ year with Ph.D. (5+ years with B.S.)