Teams at Singapore AI Safety Hub

Design and evaluate software-only protocols for verifying AI datacenter compute and memory usage. The role involves developing challenge kernels, microbenchmarking GPUs, measuring latency across cluster topologies, studying compression and hidden capacity, red-teaming timing assumptions, and publishing findings. Work spans GPU performance engineering, adversarial measurement, cryptographic protocol design, hardware security, and LLM inference systems.

Own and scale the operations function for a rapidly growing international AI safety organization. Responsibilities include upgrading hiring, payroll, onboarding, expenses, office and applicant-management systems; establishing performance, talent, project-management and benefits processes; managing UK and Singapore entity infrastructure, compliance, offices and security; and partnering with leadership on culture, strategy, governance and policies. The role requires proactive execution, people leadership, stakeholder management, regulatory judgment and organizational scaling experience.

Expression of interest for future research scientist or research engineer opportunities at Neo Research. The organization seeks candidates working in model evaluations, AI alignment, interpretability, machine learning, large language model engineering, agentic systems, or related fields applicable to frontier AI safety. Prior AI safety experience is not required. Reading and writing Mandarin is a plus.