Research Engineer, Production Model Post Training (AI)

TL;DR

Research Engineer, Production Model Post Training (AI): Implementing and optimizing post-training techniques for AI models with an accent on enhancing model quality, safety, and capabilities. Focus on debugging complex issues, collaborating across teams, and developing robust pipelines for model evaluation.

Location: Hybrid (at least 25% in-office)

Company

Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems.

What you will do

• Implement and optimize post-training techniques at scale on frontier models
• Conduct research to develop and optimize post-training recipes
• Design, build, and run robust pipelines for model fine-tuning and evaluation
• Collaborate with research teams to translate techniques into production-ready implementations
• Debug complex issues in training pipelines and model behavior

Requirements

• Education: Bachelor's degree in a related field or equivalent experience
• Strong software engineering skills with experience in ML systems
• Experience with training, fine-tuning, or evaluating large language models
• Comfortable working with large-scale distributed systems
• Proficiency in Python and deep learning frameworks