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Your work:
- Build prototypes supporting AI verification, from GPU workload distinction to zero-knowledge proofs.
- Support technical communications and collaborate with external experts.
- Work across ML engineering, inference pipelines, frontend demos, and cybersecurity.
About you:
- Strong ML engineering fundamentals with interest in AI verification or confidential computing.
- Comfortable in ambiguous early-stage environments; startup experience is a plus.
Logistics:
- Remote role based in Singapore, UK, or globally with overlap.
- Competitive benefits and leave policies; UK visa sponsorship available.
Singapore AI Safety Hub
Singapore AI Safety Hub is an international collaboration building open tools to verify AI datacenter activity for global governance and trustworthy AI adoption. It is a young, fast-moving organization with a small core team and partners including Oxford and the Future of Life Institute.