Verification Lead

Singapore AI Safety Hub•San Francisco, CA

11d•Remote

About The Position

The Verification team at Singapore AI Safety Hub (SASH) is building prototypes of AI verification tools to foster international collaboration and ensure the trustworthy adoption of AI. This role is a critical leadership position that will define the technical direction of SASH's Verification program. The team is working on translating technical advancements into policy changes by demonstrating tools to policymakers globally and roadmapping production-scale verification mechanisms. The work draws on expertise from cybersecurity, cryptography, ML, hardware, and electrical engineering, with a focus on creating robust, privacy-preserving, and auditable mechanisms. Current projects include distinguishing between inference and training workloads on GPUs, with future directions in scaling zero-knowledge proofs and designing privacy-preserving evaluations. The role involves setting technical direction, building and prototyping solutions, managing and coaching engineers, collaborating with external experts, and interfacing with policymakers.

Requirements

Strong engineering, systems, cybersecurity, or adjacent technical fundamentals.
Expertise relevant to AI verification, such as cybersecurity, confidential computing, AI infrastructure, hardware, cryptography, or related systems domains.
Comfortable operating in an ambiguous technical environment: identifying promising directions, setting priorities, and moving from ideas to prototypes.
Experience leading technical work and developing others, including managing or coaching engineers.
Strong communication skills, including the ability to explain technical problems and trade-offs to different audiences.

Nice To Haves

Experience with AI hardware, datacenter infrastructure, or confidential computing.
Electrical engineering experience, particularly around network-level instrumentation.
Experience with cryptographic or privacy-preserving systems.
Experience translating research or technical prototypes into real-world applications.
Familiarity with AI safety, AI governance, or technical verification.

Responsibilities

Set technical direction: Identify promising verification problems and approaches, decide which bets are worth pursuing, and steer projects from idea through prototype.
Build and prototype: Work across problems such as algorithms for recomputing AI workloads, ML engineering for inference pipelines, frontend engineering for demonstrations, and cybersecurity analysis of verification designs.
Build the team: Manage and coach engineers, help set areas of specialization, and grow SASH's in-house verification capabilities.
Collaborate with technical experts: Work with external experts and SASH's broader team across cybersecurity, ML, hardware, cryptography, confidential computing, and adjacent fields.
Interface with policymakers: Help translate technical work and trade-offs for policymakers and other stakeholders, and ensure the mechanisms we're developing respond to real-world verification needs.