Source description
About the role
OVERVIEW
Join our core R&D team building end-to-end automated research systems.
馃摪 Zochi publishes the first fully-AI generated A* conference paper https://www.intology.ai/blog/zochi-acl
馃摪 Locus becomes the first AI-system to outperform human experts at AI R&D https://www.intology.ai/blog/previewing-locus
KEY RESPONSIBILITIES
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Design & implement novel architectures for automated research.
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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.
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Publish internal key-findings along with external collaboration success stories.
Qualifications
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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.
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Proven track-record of high-impact AI/ML research contributions in either the academic or corporate settings.
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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.
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Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments.
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OUR CULTURE
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Competitive salary & equity packages.
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Unlimited PTO with a focus on on-site team-building & communal work environment.
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Conference attendance & involvement in community-facing events.
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High-agency & responsibility.
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#1: We are are small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.
More at Intology
