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Lead end-to-end technical programs for AI safety research and infrastructure: scope plans, prioritize across teams, build compute/resource roadmaps, enable technology transfer, and coordinate internal stakeholders to accelerate research delivery.

Support the Business Operations Manager and COO by owning operational tickets, compliance tracking, finance and HR operations, IT coordination, FAR.Labs logistics, and ad-hoc projects. Triage requests, maintain policies and calendars, coordinate vendors and equipment, and improve processes to keep the organization running smoothly.

The Senior Research Engineer will lead projects in AI safety, focusing on machine learning, high-performance computing, or technical leadership. Responsibilities include detecting model deception, preventing misuse, and developing frameworks for research acceleration.

As a Research Engineer at FAR.AI, you will develop machine learning algorithms, run experiments, collaborate with researchers, and contribute to research papers.

The Research Scientist will lead and develop AI Alignment research agendas, publish findings, and contribute to best practices in AI safety research.