Software Engineer, Post-Training Research
Core
Building internal tools, visualization systems, and refactoring codebases to support the post-training pipeline for large language models deployed to millions of users.
Role type
Senior Software Engineer (Post-Training Infrastructure)
Builds
Internal research tooling, visualization dashboards, and robust codebases for model evaluation
Domain
Artificial Intelligence / Large Language Model Post-Training
Deliverable
product features
Required skills
Python, code refactoring, debugging complex systems, rapid prototyping, testable code design, experiment configuration design
Preferred skills
T-shaped engineering, building user-facing products, shipping under competing priorities, understanding of post-training workflows
Technologies
Python
Responsibilities
Rapidly prototype and build tooling or visualization for researchers; Collaborate with research teams; Design, implement, test, and debug code across the stack
Seniority
Senior, hands-on IC
