Research Scientist at Intology (San Francisco, CA)
Intology· San Francisco, CA·
Role details
Work type
Onsite
Employment
Full-Time
Job description
OVERVIEW
Join our core R&D team building 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
- 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.
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.