Research Engineer, Production Model Post-Training

Highlights

• Train base models through full post-training stack to ship production Claude models.
• Scale Constitutional AI and RLHF techniques on frontier models in production.
• Improve quality, safety, and capabilities of Claude models used by millions.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

Ideal candidate

A research-minded engineer energized by controlled chaos who balances exploration with operational rigor to ship safe, capable AI. You care deeply about AI safety and thrive collaborating across research and engineering on frontier systems.

Requirements

• Bachelor's degree or equivalent combination of education, training and/or experience in a relevant field
• Proficiency in Python, deep learning frameworks, and distributed computing
• Strong software engineering skills building complex ML systems
• Experience with large-scale distributed systems and high-performance computing
• Experience training, fine-tuning, or evaluating large language models
• Ability to respond to incidents on short notice, including weekends