Member of Technical Staff (Software Engineer, Training Infrastructure)

Perplexity is seeking software engineers for the Training Infrastructure team, which builds large-scale RL and agent evaluation platforms. The role involves developing distributed systems for AI workloads, defining user and agent interfaces for experiments, and creating tools for experiment analysis. Candidates should have experience in distributed systems, backend languages, and ML infrastructure.

2+ years experience developing and shipping distributed systems for compute-intensive workloads. Proficiency in Python, Rust, C++, or Go, and experience with AWS and Kubernetes. Familiarity with reinforcement learning, agent evaluation, or ML infrastructure. BS, MS, or PhD in Computer Science or related field or equivalent practical experience.