2 days ago
Base Salary
$200k - $300k/yr
Responsibilities
- Build autonomous agents that pursue goals over multiple weeks with minimal human intervention.
- Own core agent systems including execution, memory, and performance evaluations.
- Design memory systems that retain knowledge and improve agent performance over time.
- Develop evaluation frameworks comparing agents against human baselines and informing real decisions.
- Improve agent reliability and reduce the need for human review of agent runs.
Requirements
- Hands-on experience building production agents that people rely on and understanding their failure modes.
- At least 1 to 2 years of experience at a fast-growing or AI-focused startup.
- Experience with agent memory, long-running execution, multi-step reasoning, or systems that maintain goals over time.
- A track record of building evaluations that inform real decisions, including comparisons against human-level baselines.
- Substantive engineering work demonstrated through published research others build on or software shipped at meaningful scale.
- Strong engineering fundamentals.
- A degree from a highly selective institution or an equivalent credential is valued rather than required.
- Experience with agent architecture and backgrounds in competitive math, programming, debate, or games are beneficial.
- A collaborative and thoughtful approach to difficult problems.
Benefits
- Meaningful founding equity is included.
- Visa sponsorship is available.
- On-site work five days per week in San Francisco, California.