Member of Technical Staff (Infrastructure Engineer, Training and Inference Systems)

We're looking for an infrastructure engineer to help build the training and inference systems that frontier research depends on. You'll build and maintain the systems our researchers — and our AI Scientists themselves — depend on to train and serve models. The focus is on speed, reliability, and ease-of-use, with a particular emphasis on large-scale distributed RL and deployment in scientific domains. Infra here is a core part of the research process, not a support function. Inherent is a recursive company through and through, and we’re constantly closing loops from the infra level, to the scientific level, to the org level.

• Contribute to our training + inference infrastructure end-to-end.
• Build systems to run large-scale experiments: distributed job orchestration, data pipelines, evals.
• Implement and harden RL and post-training libraries for our models.