Website:
basethesis.com
Job details:
BaseThesis Labs, A frontier lab focused on democratising the way humans interact with technology to maximise their potential.
Roles:
Applied AI Engineer / Systems Engineer / Full-Stack Engineer
- Ship, maintain, and improve production systems end-to-end, owning the path from research prototype to deployed infrastructure.
- Distributed training or real-time inference at scale. Eg, multi-node orchestration, low-latency serving, compiler-level optimization where needed.
- Fluent across the entire stack from model code, data pipelines, APIs, to frontend when the system needs one. The boundary between "ML" and "engineering" should feel arbitrary to you.
- Multi-cloud orchestration, petabyte-scale data pipelines, or custom silicon integration, depth in at least one, literacy in the rest.
AI Researcher
- First-author track record at top venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), or clear evidence you're producing work at that level.
- Depth in at least one of World Models, post-transformer architectures, neural interfaces, continual learning, pure RL or swarm intelligence.
- Strong mathematical foundation: probability, linear algebra, optimization.
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