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.
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
More about this 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.
You'll be the technical bridge between what customers need and what actually ships. That means owning engagements end to end — scoping, adaptation, evaluation — and having full say over how text models get shaped and deployed. In between, you'll build the reusable tooling and workflows that make the next engagement faster than the last.
If you care about data quality, evaluation design, and making language models genuinely work in production, this is the role for you.
- Lead efforts in instruction tuning, preference tuning, and model alignment to ensure models are helpful, safe, and performant in real-world applications.
- Own customer post-training projects end-to-end — from requirements...
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