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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 Senior Communications Manager will enhance FAR.AI's public engagement through strategic media relations, digital content, and event coordination, translating complex AI research into impactful narratives.

The Head of Engineering (Research) will manage FAR.AI's technical team, scale the organization, improve project management systems, and foster internal and external partnerships for AI safety research.

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.

As an Infrastructure Engineer, you will develop and manage scalable infrastructure, supporting Kubernetes clusters and enhancing compute capabilities for AI research workloads while ensuring security and improved observability of resources.

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

The Senior Project Manager will lead high-complexity AI safety events, managing logistics, timelines, and stakeholder coordination for successful execution.