JOBS / Liquid AI

Member of Technical Staff - Post Training, Applied

San Francisco; Remote; Boston

Role

This role involves owning end-to-end applied post-training projects for text workloads, including data generation, fine-tuning, and evaluation. Candidates must have hands-on experience with LLM post-training methods such as SFT, RLHF, and DPO, along with proficiency in the open-source ML ecosystem.

Location: San Francisco; Remote; Boston
Employment: full time
Work pattern: hybrid
Seniority: mid

LLM Post-TrainingSupervised Fine-TuningRLHFDPOPyTorch

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Source and currency

This vacancy came from the organization’s official Ashby feed. Source update: 2026-01-23T16:51:11.121+00:00. Check the employer’s page for the complete description, current availability and application terms.

Liquid AI RESEARCH PROFILE ↗