FAR.AI Benefits Overview

Conduct applied AI safety research using white-box methods such as activation explainers, steering, patching, attribution, and probes. Develop, evaluate, and stress-test methods on realistic large-scale models and long-context agentic coding tasks. Own research directions, publish findings, communicate results to technical and non-technical audiences, and collaborate with frontier labs, governments, and academics.

Own full-cycle accounting for a growing nonprofit, including month-end and year-end close, journal entries, reconciliations, general ledger maintenance, grant and fund accounting, financial reporting, audit coordination, and development of scalable controls and processes. The role partners with finance leadership and program teams while supporting U.S. and international operations, including a Singapore entity.

Operate and scale Kubernetes GPU clusters supporting frontier AI research. Responsibilities include node lifecycle management, batch scheduling, multi-tenancy, storage, fault-tolerant distributed training, security hardening, infrastructure as code, observability, provider integration, and direct infrastructure support for research teams. The role requires production Linux and Kubernetes experience, programming ability, and ownership of large-scale GPU, HPC, or batch infrastructure.