Member of Technical Staff, Post-Training, RL Infra

About the Company

Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. We are building a frontier AI research company and training our own models end-to-end, with a team including researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.

Responsibilities

• Design and build reliable infrastructure for large-scale RL training
• Implement novel performance optimizations across the training stack
• Develop evaluation and benchmarking infrastructure to measure model progress, throughput, and uptime
• Build data collection and feedback pipelines that close the loop between human signal, reward modeling, and training
• Collaborate with multiple teams to rapidly iterate on RL algorithms and get experiments into production training runs

Requirements

• Experience building infrastructure for large-scale RL training
• Ability to work at the intersection of research and infrastructure
• Interest in pushing the scale of RL stacks, reliability, and performance