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About the Role

The Verification team at Singapore AI Safety Hub (SASH) builds prototypes of AI verification tools in public to accelerate the development and adoption of globally trusted mechanisms. This role involves setting the technical direction for SASH's Verification program, turning promising ideas into practical prototypes, and building the necessary team and capabilities. AI verification is a critical and emerging field requiring robustness, privacy preservation, and auditability, drawing on expertise from cybersecurity, cryptography, ML, hardware, and electrical engineering.

Responsibilities

Set technical direction by identifying promising verification problems and approaches, deciding which bets to pursue, and steering projects from idea through prototype.
Build and prototype solutions across areas 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 by managing and coaching engineers, setting areas of specialization, and growing SASH's in-house verification capabilities.
Collaborate with external technical experts and SASH's broader team across cybersecurity, ML, hardware, cryptography, confidential computing, and adjacent fields.
Interface with policymakers by translating technical work and trade-offs for various stakeholders and ensuring developed mechanisms address real-world verification needs.

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.
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.

Skills

AI verification
Cybersecurity
Confidential computing
AI infrastructure
Hardware
Cryptography
Systems domains
ML engineering
Frontend engineering
Electrical engineering
Network-level instrumentation
Privacy-preserving systems
AI safety
AI governance
Technical verification

Location

Singapore
Remote (UK visa sponsorship available)

Work Type

Remote
Full-time

Experience Level

Leadership role
Management or coaching experience

Benefits

Competitive benefits and leave policies
Visa sponsorship in the UK (for relocation)

About the Company

Singapore AI Safety Hub (SASH) is launching the first international collaboration aimed at developing AI verification tools.
Our partners include experts from the Future of Life Institute, University of Oxford, and more.
Our core team has experience at Oxford, ByteDance, Centre for the Governance of AI, and Singapore Government.
Our collaborators have worked with Arm and Intel.
SASH is a young, fast-moving organization where finding opportunities and making things happen is the norm.
We present our work at international forums such as the AI Security Forum, ICML, Australia AI Safety Forum, and World AI Conference.