Member of Technical Staff - Post Training, Applied
Core
Own applied post-training work end-to-end for text workloads, adapting Liquid Foundation Models for enterprise customers.
Role type
Senior IC applied machine learning engineer (LLM post-training)
Builds
Production-ready text models adapted for enterprise customers
Domain
Artificial Intelligence / Large Language Models / Enterprise Software
Deliverable
production ML models
Required skills
LLM post-training, data generation, evaluation design, supervised fine-tuning, instruction tuning, RLHF, DPO, text data curation, open-source ML ecosystem, modern model architectures
Preferred skills
inference optimization frameworks, reusable ML tooling, evaluation infrastructure
Technologies
Hugging Face, PyTorch, vLLM, SGLang, TensorRT
Responsibilities
Translate customer requirements into post-training specifications, design and execute data generation and filtering processes, run alignment workflows, design task-specific evaluations, build reusable applied tooling
Seniority
Senior, hands-on IC
