Member of Technical Staff, Post-Training, RL Environments

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

• Build and automate data collection pipelines for complex, long-horizon RL tasks
• Build robust systems to identify and prevent reward hacking
• Build scalable sandboxed execution environments for realistic tasks involving multiple agents, nodes, and users
• Design systems to estimate the influence of training environments on production model behavior
• Collaborate with teams across the stack to identify potential axes of improvements in production model behavior and develop training environments to push these axes

Requirements

• Experience building data systems and execution environments for reinforcement learning
• Ability to own systems end-to-end from design to implementation