--- title: 'Research Scientist at Intology' canonical: 'https://feeny.ai/job/research-scientist-intology-san-francisco-a68dzyn9tx6a' type: 'job' last_seen: '2026-09-13' --- # Research Scientist at Intology - **Company:** Intology - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-09-14 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/intology/becd96e2-ec45-424d-bbf8-5af637a0c7d4 ## Job description ## Overview Join our core R&D team building end-to-end automated research systems. πŸ“° Zochi publishes the first [fully-AI generated A* conference paper](https://www.intology.ai/blog/zochi-acl) πŸ“° Locus becomes the first [AI-system to outperform human experts at AI R&D](https://www.intology.ai/blog/previewing-locus) ## Key Responsibilities - Design & implement novel architectures for automated research. - Collaborate with a focused group of researchers tackling problems at the forefront of long-horizon agentic capabilities, post-training for open-ended goals, and environment development. - Publish internal key-findings along with external collaboration success stories. ## Qualifications - PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree. - Proven track-record of high-impact AI/ML research contributions in either the academic or corporate settings. - Expertise in developing long horizon. multi-agent systems and/or model post-training, with a focus on capabilities. Even better if built for scientific domains and/or open-ended discovery purposes. - Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments. Our Culture - Competitive salary & equity packages. - 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&Dβ€”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. 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