About this role
OVERVIEW
Join our core R&D team building end-to-end automated research systems.
📰 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
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.
Join our core R&D team building end-to-end automated research systems.
📰 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
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
Intology is hiring for the research scientist role. NewJob aggregates active openings directly from Intology's applicant tracking system, so this listing is current.
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