# Member of Technical Staff - Post Training, Applied at Liquid AI

- Company: Liquid AI
- What the company does: Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
- Company website: https://www.liquid.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Posted: 2026-01-23
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/liquid-ai/f898850b-a1ca-4c9e-9e15-a9aa1ce306b6
- Page: https://www.1752.vc/careers/jobs/liquid-ai-member-of-technical-staff-post-training-applied/

## About the role

This is a rare chance to own applied post-training work end-to-end for text workloads, adapting Liquid Foundation Models for some of the world’s largest enterprise customers. You will act as the technical bridge between customer requirements and model delivery. You will lead engagements from scoping through evaluation, with full ownership over how text models are adapted and shipped. Between engagements, you will build reusable applied workflows and tooling that accelerate future delivery.

## What they're looking for

- Hands-on experience with data generation and evaluation for LLM post-training
- Experience training or fine-tuning models using SFT, instruction tuning, RLHF, DPO, or similar preference alignment methods
- Strong intuition for text data quality and evaluation design
- Experience with text-specific post-training workflows: chat model alignment, instruction tuning, or text data curation at scale
- Proficiency with open-source ML ecosystem (Hugging Face, PyTorch) and modern model architectures

Tags: Applied ML