Member of Technical Staff - Post-Training

Reflection AI is on a mission to build open superintelligence and make it accessible to all. The role involves building systems that transform pre-trained models into aligned agents and driving research initiatives in post-training optimization.

Responsibilities:

• Build systems that transform powerful pre-trained models into aligned and general agents
• Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization
• Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques
• Collaborate across pre-training and post-training teams to deliver step-function gains in model capability
• Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning