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Member of Technical Staff (AI for Science)

inherent· Technical Staff
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LondonFull-timePosted 5mo ago

About the role

Role focused on developing transformative AI Scientist agents to enable in silico and in situ discoveries across scientific domains, leveraging proprietary foundation models and integrating with scientific infrastructure, experiments, and external collaborators.

Responsibilities

  • Devise and hone AI for Science research settings amenable to open-ended exploration by AI Scientist agents (in silico or in situ).
  • Benchmark Inherent’s proprietary agents in AI for Science environments, gathering data to improve agent performance via post-training and harness iteration.
  • Contributing data, evaluations, feedback and expert opinion to Inherent’s post-training team to improve core foundation models.
  • Close recursive loops to enable agents to automatically deploy, debug and repair themselves.
  • Work closely with scientific partners and customers, including forward deployment.

Qualifications

  • 5+ years of experience in hard science research, AI for science, data science or industry R&D.
  • Experience applying ML to drive scientific progress in silico or in situ on in-lab or real-world datasets.
  • Demonstrated track record of success in research (papers, product releases, open-source contributions, etc.).
  • 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework.
  • Experience using the latest coding agents, and opinions about optimal workflow.
  • Enthusiasm for experimental organizational design.
  • AI-pilled: adopting agents, keen to build a company where agents are front and centre.

Skills

Required:AI Scientist agentsPythonDeep learning frameworks
Last updated Aug 20, 2026. Interested? Apply on the company site.
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About inherent

Recursively self-improving to discover new knowledge.

Recursively self-improving to discover new knowledge.

AIlabresearchinstitutioncollective intelligencerecursive self-improvementAI-driven scientific discovery
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