Liquid AI
Member of Technical Staff - Post Training, Applied
San Francisco · Staff+
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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.
- If you care about data quality, evaluation design, and making language models actually work in production for real customers, this is the role.
Responsibilities
- Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.
- 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.
Requirements
- 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
- 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
Nice to have
- Familiarity with inference optimization frameworks (vLLM, SGLang, TensorRT)
- Has built reusable applied workflows or tooling that accelerate future customer engagements
Compensation
- Competitive base salary with equity in a unicorn-stage company
- We pay 100% of medical, dental, and vision premiums for employees and dependents
- 401(k) matching up to 4% of base pay
Benefits
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Company info
- We are scaling rapidly and need exceptional people to help us get there.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.