Intology
Overview
Join our core R&D team building
end-to-end automated research systems .
The
1st
fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025). https://www.intology.ai/blog/zochi-acl
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 a small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.
#J-18808-Ljbffr
end-to-end automated research systems .
The
1st
fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025). https://www.intology.ai/blog/zochi-acl
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 a small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.
#J-18808-Ljbffr