Research Scientist

Intology

$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or equivalent experience in Computer Science, Machine Learning, AI, or related fields.
  • Strong track-record of impactful AI/ML research contributions.
  • Expertise in developing long horizon, multi-agent systems and model post-training.
  • Experience with scientific domains or open-ended discovery is a plus.
  • Passion for problem-solving and scientific discovery, thriving in high-autonomy roles.

Responsibilities

  • Design and implement novel architectures for automated research.
  • Collaborate with researchers on cutting-edge agentic capabilities and environment development.
  • Publish internal findings and success stories from external collaborations.

Benefits

  • Competitive salary and equity packages.
  • Unlimited PTO with emphasis on team-building.
  • Support for conference attendance and community events.
  • High level of agency and responsibility in the role.
Full Job Description
Overview

Join our core R&D team building end-to-end automated research systems.

Zochi publishes the first fully-AI generated A* conference paper

Locus becomes the first AI-system to outperform human experts at AI R&D

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.

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