FAR.AI jobs

FAR.AI is seeking a Tech Lead Manager for its GPU Cluster Infrastructure team. This role involves leading a sub-team focused on managing and scaling the organization's GPU compute platform, which supports cutting-edge AI safety research. You will be responsible for the technical direction and roadmap of the platform, ensuring its performance, fault tolerance, and security, especially as AI agents increasingly utilize the cluster for experiments. This position requires a blend of technical expertise and leadership, with at least half of your time dedicated to hands-on engineering work. You will also be responsible for hiring and growing the infrastructure team, setting priorities, and providing mentorship.

$225k - $325k

FAR.AI is seeking a Senior Software Engineer to join their Foundations team, which is responsible for the institute's compute platform, research tools, and workflow automation. This role will focus on accelerating AI safety research by managing and scaling the GPU cluster fleet, which includes bare-metal and managed Kubernetes environments. The engineer will work directly with researchers and other engineers to ensure large-scale experiments are performant and fault-tolerant, contributing to the core infrastructure that enables cutting-edge AI safety advancements.

$150k - $275k

FAR.AI is a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial. The Applied White-Box Methods team focuses on developing, evaluating, and demonstrating techniques that utilize model internals to enhance AI system safety. This involves exploring applications like white-box control, evaluation awareness, and shaping training dynamics for improved alignment. The team bridges the gap between exploratory research and practical deployment by rigorously testing white-box methods on real-world tasks, such as long-context agentic coding, and using feedback to refine these methods for frontier-scale deployment. The scope encompasses any method using model internals for understanding, predicting, or intervening in model behavior, including activation explainers, steering, patching, influence functions, and singular learning theory. These methods are evaluated against strong black-box baselines to ensure their practical value.

$150k - $250k

FAR.AI, a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial, is seeking a Research Lead to spearhead its pre-training safety initiatives. This role focuses on shaping AI models at their source by controlling capabilities and internal representations, aiming to prevent misuse and reduce loss-of-control risks. The work involves scaling methods for large models, validating approaches like data filtering and gradient routing, and exploring techniques such as unlearning. The Research Lead will direct these efforts, collaborate with red teams for stress-testing, and analyze scalability to frontier systems. This position offers significant autonomy within an impact-driven environment, focusing on empirically grounded, scalable ML safety research.

$290k - $450k