Research Infrastructure Engineer (AI)

TL;DR

Research Infrastructure Engineer (AI): Building and maintaining large-scale ML training infrastructure and tools to turn novel research into runnable workloads with an accent on reliability, performance, and API design. Focus on debugging complex distributed systems spanning PyTorch, GPUs, and networking to unlock frontier model experiments.

Location: San Francisco, USA

Salary: $295K – $380K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Build and maintain infrastructure for large-scale model training and experimentation.
• Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.
• Improve reliability, debuggability, and performance across training and data pipelines.
• Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.
• Write tests, benchmarks, and diagnostics that catch meaningful regressions.

Requirements

• Strong systems instincts with a deep care for performance, reliability, and clean abstractions.
• Proven taste in API and interface design with empathy for end-users.
• Ability to work comfortably across ML research code and production-quality infrastructure.
• Experience debugging from profiles, traces, logs, and minimal reproductions.
• Location: Must be based in San Francisco