Jobs at FAR.AI

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.

FAR.AI invites interested candidates to express their interest for future roles related to AI safety research and advancement.

The Technical Project Manager will oversee major multi-party AI red-teaming engagements, manage recruiting, and drive operational success within a rapidly evolving team.

As Jailbreaking Lead, you will engineer jailbreaks for frontier AI models, lead red-teaming engagements, mentor team members, and shape the research agenda to address vulnerabilities in AI systems.

Lead content and strategy for a 12+ event annual portfolio: design agendas, curate speakers and attendees, own pre-event framing and speaker engagement, produce written outputs, steward post-event continuity and community building, manage stakeholder relationships across AI safety, and collaborate with internal teams to translate event visions into participant-facing programs and systems.

Lead end-to-end project planning and delivery for multiple concurrent events, managing logistics, vendors, budgets, on-site execution, and post-event wrap. Coordinate cross-functional dependencies, enable junior PMs, build delivery systems, surface risks, and make real-time resourcing decisions. Travel up to 40%.

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.

The Research Lead will develop and lead a research agenda on AI safety, manage a team, and share findings through publications and presentations.