About the RoleWe're looking for a
Member of Technical Staff who is obsessed with hard, novel, and often overlooked problems, and who can build large, complex, maintainable systems at a pace that surprises even senior engineers. This is a full-time,
on-site role in the South Park neighbourhood of San Francisco. Visa sponsorship is available.
What You'll Do- Identify and solve hard technical problems that lack existing solutions, advancing the state of the art in AI.
- Design and build custom database and memory systems tailored for advanced AI applications.
- Implement real-time LLM token state management at large scale.
- Develop custom Unix OS distributions optimised for human-AI interaction.
- Rethink UX paradigms through the lens of organisational behaviour and human psychology.
- Own projects end-to-end - from architecture to deployment - with a strong bias toward compounding micro-optimisations.
What We're Looking ForRequired:- A genuine obsession with novel, technically difficult, or overlooked problems.
- Demonstrated ability to build large, complex, and maintainable systems in roughly one-third the time most competent engineers think is possible.
- Hands-on experience with at least one of: TypeScript, Rust, Python, graph databases, or flexible data pipelines.
- Outlier intelligence and/or outstanding real-world experience (top academic background or equivalent signal welcome).
Nice to have:- Familiarity with graph databases, ontological modelling, and flexible data pipeline design.
- Comfort applying insights from psychology and organisational behaviour to product and UX decisions.
- Interest in mechanistic interpretability or AI model internals.
- Experience in distributed systems, AI infrastructure, or systems-level programming.
We welcome candidates from non-traditional backgrounds. What matters most is the quality of your thinking and what you've built.
Compensation & Benefits- Cash compensation: $200,000 - $400,000 per year
- Equity: Variable equity package on top of cash
- Visa sponsorship available
LocationThis role is
on-site in the South Park neighbourhood of
San Francisco, CA. Remote or hybrid arrangements are not available for this position.
