Full-Time
Research Scientist
Intology
1-10 employees
End-to-end automated AI research systems
No salary listed
San Francisco, CA, USA
In Person
PhD
 AI & Machine Learning (1) |
|---|
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- A PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field is required, although exceptional candidates with strong research contributions may apply regardless of formal degree.
- A proven track record of high-impact artificial intelligence and machine learning research contributions in an academic or corporate setting is required.
- Expertise in developing long-horizon, multi-agent systems and/or model post-training, with a focus on capabilities, is required.
- Comfort working in high-autonomy roles and environments is required.
- Design and implement novel architectures for automated research.
- Collaborate with researchers on long-horizon agentic capabilities, post-training for open-ended goals, and environment development.
- Publish internal key findings and external collaboration success stories.
Intology operates as a research lab that builds end-to-end automated research systems. Its “Artificial Scientists” perform the full workflow of AI research—from generating ideas and conducting experiments to analyzing results and publishing findings—without requiring constant human input. Their products are systems capable of carrying out AI research tasks autonomously, and they have publicly released discoveries at top-tier AI conferences, demonstrating the ability to beat human experts on AI research tasks. Compared with others, Intology emphasizes complete automation of the research cycle and autonomous scientific discovery, supported by systems that can outperform human researchers in AI-related tasks. The company’s goal is to advance AI science by providing scalable, autonomous research machinery that continually generates new findings and insights.
Company Size
1-10
Company Stage
Seed
Total Funding
$8M
Headquarters
San Francisco, California
Founded
2025
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Simplify's Take
What believers are saying
- Intology posted research-scientist and infra roles in September 2025 and July 2026.
- Its ACL 2025 acceptance creates strong recruiting leverage with AI researchers.
- The June 2026 launch positions Intology for enterprise and academic discovery partnerships.
What critics are saying
- Prospeo lists no funding; cash runway stays opaque and likely short.
- The lab has tiny headcount, so one model failure can stall delivery.
- If Zochi's claims fracture under replication, credibility and hiring collapse fast.
What makes Intology unique
- Zochi became the first AI system accepted to ACL main proceedings in 2025.
- Intology targets autonomous scientific discovery, not generic chatbot or agent tooling.
- The company claims end-to-end research pipelines, from literature review to peer-reviewed publication.
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Benefits
Unlimited Paid Time Off
Conference Attendance Budget
Company Equity