Software Engineer at Intology (San Francisco, CA)

Intology· San Francisco, CA·5d ago

Role details

Work type

Onsite

Employment

Full-Time

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 intology.ai/zochi-acl

📰 Locus becomes the first AI-system to outperform human experts at AI R&D intology.ai/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.

Why work at Intology

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.

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).

Sources