Teams at FAR.AI

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.

Leads AI safety research on detecting deception, monitoring deployed models, and training models for honesty. Responsibilities include designing experiments, running large-scale post-training and reinforcement learning jobs, developing model organisms, diagnosing instability and reward hacking, mentoring technical staff, collaborating with infrastructure and frontier labs, and communicating findings through papers, evaluations, and practical guidance.

Own FAR.AI’s earned media strategy, including research release planning, reporter and outlet relationships, media training, inbound requests, op-eds, pitches, and reactive communications. The role requires shaping coverage of AI safety research, preparing researchers and leaders for interviews, deciding how to communicate sensitive findings, and securing credible coverage among AI and policy audiences.