poetiq
Member of the Technical Staff
$150K–$500K
Los Altos · On-site · Staff · Full-time · Posted Sep 25, 2026
About the job
Develop interpretable recursive self-improvement systems, spanning reasoning algorithms, orchestration, diagnostics, and scalable infrastructure for LLM-based optimization.
What you'll do
- Improve the RSI loop and develop task-specific reasoning strategies and dynamic execution harnesses.
- Design parallel orchestration and diagnostic pipelines, and route failures into SFT and reinforcement-learning workflows.
- Build and maintain reliable, high-performance infrastructure for large-scale LLM experiments and deployments.
What they ask for
- Ability to independently turn ambiguous ideas into production-grade systems.
- First-principles understanding of LLM reasoning and failure modes, with hands-on experience with LLM quirks.
- Able to work fully on-site in Los Altos.
- Commitment to code quality, rigorous testing, performance profiling, architectural design, and clear communication.
Pay
$150K – $500K USD base salary
Tools
LLMs, SFT, RL
AI focus
Research and engineering for recursive self-improvement: improving LLM reasoning through task-specific strategies, interpretable feedback loops, SFT data pipelines, and exact-match RL tasks.
Model-written summary · the original posting is authoritative