Member of Technical Staff - Post Training, Applied
Liquid AI, San Francisco +2
About the job
About Liquid AI
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. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The opportunity
You will own applied post-training for text workloads, adapting Liquid Foundation Models for some of the world’s largest enterprise customers. Working directly with customers and our internal technical teams, you will translate business needs into models that perform reliably on real tasks, with ownership from scoping through adaptation, evaluation, and delivery. Between engagements, you will turn what you learn into reusable tooling and workflows that make future delivery faster and more effective.
What we're looking for
We need someone who
- Takes ownership: Clarifies ambiguous requirements, surfaces risks early, and follows through until the customer’s problem is solved.