---
title: 'Software Engineer at Intology'
canonical: 'https://feeny.ai/job/software-engineer-intology-san-francisco-d5zy01n6mkc8'
type: 'job'
last_seen: '2026-09-06'
---

# Software Engineer at Intology

- **Company:** Intology
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-09-16
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/intology/72a8f1f2-26c7-44e2-96fd-8f1f66a18feb

## Job description

## OVERVIEW

Join our core team building & deploying end-to-end automated research systems.

📰 Zochi publishes the first fully-AI generated A* conference paper https://www.intology.ai/blog/zochi-acl

📰 Locus becomes the first AI-system to outperform human experts at AI R&D https://www.intology.ai/blog/previewing-locus

## KEY RESPONSIBILITIES

- Collaborate with core R&D team to design & implement scalable, secure infrastructure for automated research systems.
- Spearhead compliant requirements for enterprise deployments.
- Contribute to core product design and philosophy.

## QUALIFICATIONS

- Bachelor's degree in Computer Science, Math, EE or a related field.
- Demonstrable experience with Google Cloud Platform and Google Kubernetes Engine.
- Clear experience working on & designing enterprise-compliant software.
- Experience with Back-End/Front-end Development, logging, and analytics.
- Interest & ability to work collaboratively with small, fast-moving teams.
- Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments.

## OUR CULTURE

- Competitive salary & equity packages, even higher for senior roles.
- Unlimited PTO with a focus on on-site team-building & communal work environment.
- Conference attendance & involvement in community-facing events.
- High-agency & responsibility.

#1: We are are small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.

## About Intology

## Company Overview
- **One-liner**: Intology is a research lab building end-to-end automated research systems, developing Artificial Scientists that can autonomously conduct AI research and publish discoveries at top-tier conferences.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Ron Arel (Co-Founder), Andy Zhou (Co-Founder)

## Core Business
- Primary industry/industries: AI Research, Automated Scientific Discovery, Research Services
- Target customers: B2B (research institutions, AI labs, enterprises seeking R&D acceleration)
- Mission or purpose statement: Automating the process of discovery

## Products & Services
For each major offering:
- **Zochi**: The first fully AI-generated A* conference paper. A system capable of autonomously producing research that meets the acceptance bar of top-tier academic conferences.
- **Locus**: The first AI system to outperform human experts at AI R&D. Conducts research autonomously over multiple days and achieves superhuman results on RE-Bench given the same resources.
- **NanoGPT-Bench**: An internal evaluation benchmark used to test coding agents on an AI R&D problem representing months of human progress.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of $8.0M (Seed Round, January 2025)
- **Notable Investors/Partners**: Not publicly disclosed, but the team has hosted speakers from Meta (FAIR), Google DeepMind, Stanford University, Mila, and CSAIL MIT for their AI4Science seminar series.
- **Growth Signals**: Headcount grew 200% YoY (from 2 to 6 employees). 1,111 LinkedIn followers with 1,162.5% yearly growth. Talent sourced from Meta, Center for AI Safety, and top universities (USC). Published first fully AI-generated A* conference paper (Zochi) and achieved superhuman AI R&D results (Locus).

## Competitive Advantages
- **End-to-End Automation**: Building complete systems that automate the entire research lifecycle, from hypothesis generation to paper publication.
- **Demonstrated Breakthroughs**: First team to publish a fully AI-generated A* conference paper and create an AI system that outperforms human experts at AI R&D—both publicly verifiable milestones.
- **Talent Density**: Extremely small team (6 people) with high specialization (67% Specialist, 33% Founder) and backgrounds from top AI labs and universities.
- **First-Mover in Automated Research**: Operating in a nascent category where they have established public proof points ahead of competitors.

## Strategic Focus
- Scaling the capabilities of their Artificial Scientists to tackle broader and more complex research problems.
- Continuing to push the boundaries of AI-accelerated scientific discovery.
- Building out their team with top-tier research talent (currently hiring Research Scientists and Software Engineers).

## Why Work Here
- **Mission-Driven Research**: Opportunity to work at the frontier of AI and scientific discovery, building systems that could fundamentally accelerate the pace of human knowledge.
- **Elite, Small Team**: Work alongside a highly concentrated group of top researchers from institutions like Meta, Center for AI Safety, and USC.
- **Culture of Publication**: The lab has already demonstrated the ability to produce work accepted at A* conferences, offering a path to high-impact publications.
- **Office Policy**: In-office work in San Francisco, CA (also an office in Mountain View, CA). Designed for deep, collaborative research.
- **Perks**: Not publicly detailed, but the environment emphasizes pushing technical boundaries, hosting leading researchers for seminars, and achieving first-of-their-kind scientific results.

## Sources
1. [intology.ai](https://www.intology.ai/)
2. [LinkedIn Company Page](https://www.linkedin.com/company/intologyai)
3. [Built In Company Profile](https://builtin.com/company/intology)
4. [GitHub Organization](https://github.com/IntologyAI)
5. [Ashby Careers Page](https://jobs.ashbyhq.com/intology)

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