Member of Technical Staff, Post-Training

Ricursive Intelligence is a frontier AI lab building self-improving systems, starting with chip design. The Member of Technical Staff, Post-Training will own core post-training work spanning synthetic data, RL environments, and evaluation, and run end-to-end experiments to improve its models.

Responsibilities:

• Design and iterate on SFT and RL recipes for large-scale models, with a focus on compute efficiency and steep, stable RL climbs
• Build and scale synthetic data pipelines, including generation, quality filtering, and coverage metrics
• Create long-horizon synthetic environments and task curricula for agentic coding and reasoning, adding harder tasks as the model improves
• Make RL stable at scale through careful recipe and stability work
• Build evaluations that track agentic capability, catch regressions, and drive recipe decisions
• Own experiments end to end on large GPU clusters: design, launch, debug, and analyze runs
• Partner with teammates to make post-training efficient on our training and serving platforms