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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 offers the opportunity to work on open technical problems in a fast-moving organization with substantial autonomy, influencing the direction of an emerging field.
Responsibilities
- Build prototypes supporting AI verification.
- Support technical communications.
- Collaborate with external experts.
- Work across ML engineering, inference pipelines, algorithms, frontend demos, and cybersecurity.
Requirements
- Strong ML engineering fundamentals.
- Familiarity with AI verification, cybersecurity and/or confidential computing.
- Comfortable in ambiguous early-stage environments.
- AI hardware engineering.
- Confidential computing.
- Cybersecurity instrumentation.
- Startup experience.
- Interest or experience working with Singaporean or Chinese stakeholders.
Skills
- ML engineering
- Inference pipelines
- Algorithms
- Frontend demos
- Cybersecurity
- AI verification
- Confidential computing
- AI hardware engineering
- Cybersecurity instrumentation
Location
- Remote (Singapore, UK, or other remote locations)
- UK (with visa sponsorship)
Work Type
- Remote
- Full-time
Experience Level
- Early-stage environments
Benefits
- Competitive benefits and leave policies.
- Visa sponsorship in the UK
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.