Hiring: Member of Technical Staff - Post Training, Applied Company: Liquid AI Location: San Francisco, CA Job Posted Time: 2026-09-16 11:30:46 Target Skills & Keywords : Fine-tuning, Hugging Face, LLM, PyTorch, TensorRT, vLLM About the job Experience: •Applied hands-on capability in data generation and evaluation for LLM post-training •Strong intuition for text data quality and evaluation design •Proficiency with open-source ML ecosystem (Hugging Face, PyTorch) and modern model architectures Required Skills: •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. •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. •If you care about data quality, evaluation design, and making language models actually work in production for real customers, this is the role. •Takes ownership: Owns customer post-training projects end-to-end, from requirements through delivery and evaluation. •Thinks end-to-end: Can reason across data generation, instruction tuning, alignment, and evaluation as a single system. •Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. •Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed. •Act as the technical owner for enterprise customer post-training engagements involving text workloads Qualifications: •Operational familiarity with inference optimization frameworks (vLLM, SGLang, TensorRT) •What Success Looks Like (Year One) •Independently owns and delivers enterprise post-training projects for text workloads with minimal oversight •Is trusted by customers as the technical owner, demonstrating strong judgment and delivery quality •Has built reusable applied workflows or tooling that accelerate future customer engagements Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!