Intology

Research Scientist

San Francisco

Sponsorship not specifiedDetected 311 days ago

Machine LearningResearchCollaborationProblem Solving

About the role

📰 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

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.

Proven track-record of high-impact AI/ML research contributions in either the academic or corporate settings.
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.
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.
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.

This listing is sourced directly from Intology's careers page and normalized into a canonical job model.