JOBS / Cartesia

Researcher, Post Training

*HQ - San Francisco, CA

Role

The role involves designing new techniques for preference optimization, model evaluation, and feedback-driven learning for multimodal models. Candidates must have deep knowledge of alignment methods, experience designing evaluations, and strong engineering skills for scaling ML systems.

Location: *HQ - San Francisco, CA
Employment: unspecified
Work pattern: on site
Seniority: unspecified

preference optimizationRLHFmodel evaluationML systems engineeringdebugging

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Source and currency

This vacancy came from the organization’s official Ashby feed. Source update: 2025-10-21T00:12:18.603+00:00. Check the employer’s page for the complete description, current availability and application terms.

Cartesia RESEARCH PROFILE ↗