---
title: Member Technical Staff at Poetiq in Los Altos, CA
description: Poetiq is hiring for the Member Technical Staff role in Los Altos, CA. Pays $150K–$500K
  per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/member-technical-staff-at-poetiq-01a0e8f2-c0cd-7b4d-8c4c-d9863736134c
date: 2026-09-28T17:27:09Z
og_description: Join Poetiq as Member Technical Staff in Los Altos, CA. Pays $150K–$500K per year.
  Full-time, on-site role.
og_image: https://www.foundrole.com/og/tl9q3f.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | Poetiq |
| **Location** | Los Altos, CA |
| **Salary** | $150K/yr - $500K/yr |
| **Type** | Full Time |
| **Posted** | Sep 25, 2026 |
## Description

Recursive Self Improvement is the most important frontier in AI research. We’re hiring a team of the best researchers and engineers dedicated to advancing RSI.

If you’re driven to advance the frontiers of AI through RSI and optimization, come apply to be a **Member of the Technical Staff** at Poetiq. This is a single, flexible technical role that spans both the algorithmic core of our RSI loop and the high-performance systems that let it run autonomously at scale. Every MTS shares ownership of the same mission: advance the frontier of AI through RSI.

## What You'll Do

Your day-to-day depends on your focus, but the shared surface area includes:

- **Improve the RSI loop** — design and build the core algorithms that drive system-level self-improvement.

- **Push reasoning strategy** — propose and test novel, task-specific reasoning strategies; probe LLMs to surface latent knowledge; build data-efficient methods for finding optimal strategies per task.

- **Build dynamic harnesses** — synthesize task-specific execution environments on the fly, even as the system concurrently rewrites its own codebase.

- **Architect orchestration** — design clean abstractions for highly parallelized workflows, turning fragmented signal from thousands of parallel, asynchronous LLM interactions into coherent, high-performance reasoning chains.

- **Probe capability boundaries** — build diagnostic pipelines that separate genuine knowledge gaps from tooling limits (e.g., live retrieval) and reasoning/composition failures.

- **Close the feedback loop** — route knowledge-gap failures into SFT data pipelines; turn reasoning/composition failures into verifiable, exact-match RL tasks.

- **Run infrastructure at scale** — build and maintain high-performance infrastructure against external, third-party LLMs (experimental, large-scale, and publicly deployed) so research and optimization loops run reliably without human intervention.

- **Keep it interpretable** — every loop stays transparent code, explicit prompts, and clear diagnostics, never opaque parameter updates.

## What You'll Need

Everyone on technical staff:

- Autonomy to turn both well-defined and highly ambiguous ideas into production-grade reality.

- First-principles understanding of LLM reasoning and failure modes, plus hands-on experience with LLM “quirks.”

- You want to build loops where the system learns from each problem it solves and gets better at the next one.

- Fully on-site in Los Altos — this is a high-bandwidth, whiteboard-heavy, low-ego, in-person team, and that's a fit requirement, not a preference.

- Commitment to code quality, rigorous testing, performance profiling, deliberate architectural design, and clear communication.

 

# **Our Team & Engineering Culture**

We are a high-leverage team of 10 engineers and researchers. We thrive in an in-office environment built around high-bandwidth collaboration, rapid whiteboarding, and low-ego problem solving.

Our engineering culture is highly collaborative, mentorship-driven, and deeply inclusive. We value clear communication, rigorous testing, and deliberate architectural design. At Poetiq, you won't just be optimizing weights on the periphery; you will be core to designing the interpretable reasoning architectures of the future.
## Skills

- Supervised Fine-Tuning (Sft)
- Code Quality
- Architectural Design
- Prompt Engineering
- Algorithms
- First-Principles Thinking
- CNC Turning
- Climbing Equipment
- Large Language Models (Llm)
- Diagnostics
- Performance Profiling
- Communication
- Failure Mode and Effects Analysis (Fmea)
- Data Pipeline

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/member-technical-staff-at-poetiq-01a0e8f2-c0cd-7b4d-8c4c-d9863736134c?utm_source=ai_markdown)

## Related

- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)