Research Scientist

Intology • San Francisco, CA

104d

About The Position

Join our core R&D team building end-to-end automated research systems. We are proud to announce the 1st fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025).

Requirements

• 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.

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.

Benefits

• 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.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree