Principal Applied Scientist
Core
Design and build platforms and pipelines to enable large language models post-training, design experiments to show effectiveness, and implement inference solutions for customers.
Role type
Principal Applied Scientist (LLM Post-Training & Inference)
Builds
Platforms, pipelines, and inference solutions incorporating post-trained LLMs
Domain
Artificial Intelligence / Large Language Models / Machine Learning
Deliverable
production ML models | product features
Required skills
LLM post-training, experiment design, inference solution implementation, production system deployment, research program leadership, technical documentation, team mentorship
Preferred skills
Conference speaking, full product lifecycle management
Technologies
Large Language Models, Post-training pipelines, Inference frameworks
Responsibilities
Design and build platforms and pipelines for LLM post-training; Design experiments to demonstrate LLM solution effectiveness; Implement inference solutions following product specifications; Mentor early in career team members
Seniority
Principal, strategy & mentorship
