# Member of Technical Staff, LLM Post-Training, Applied at Sanas

- Company: Sanas
- What the company does: Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise... Backed by General Catalyst, Insight and GV.
- Company website: https://www.sanas.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Palo Alto, CA
- Work setup: On-site
- Posted: 2026-08-10
- Apply by: 2026-10-08
- Apply: https://ats.rippling.com/sanas/jobs/1eeddd94-07f5-4c93-8dfe-adf761294872
- Page: https://www.1752.vc/careers/jobs/sanas-member-of-technical-staff-llm-post-training-applied/

## About the role

Sanas is looking for a Member of Technical Staff to lead the post-training and deployment of large language models across a new generation of self-hosted, sovereign-deployed products. This is a rare chance to own applied post-training work end-to-end for text workloads. This role sits at the center of taking strong open-source LLMs and adapting them — through fine-tuning, alignment, and inference optimization — into models that perform reliably in high-stakes, real-world, on-premise environments.

## What they're looking for

- 5+ years of experience building and deploying machine learning-based services in a production environment
- 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
- Experience on Agentic AI

Tags: Science