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Research Scientist I/II, AI Safety, Biological/ Physical Sciences
LLila
Summary by AIEngineer.careers
Research Scientist I/II, AI Safety, Biological/ Physical Sciences is a AI Research Engineer role (full-time). with Lila. in REMOTE, WORLDWIDE. Compensation shown: $176K–$304K. Imported listing (source: hirequorum.liveblog365.com). Apply on the employer's site (hirequorum.liveblog365.com).
Imported listing (source: hirequorum.liveblog365.com) · Apply on hirequorum.liveblog365.com
REMOTE · WORLDWIDE
$176K–$304K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from hirequorum.liveblog365.com
Lila is seeking a Research Scientist in AI Safety to build capability evaluations for scientific risks, develop safety strategies, and collaborate with cross-functional teams. The role requires a PhD in biological or physical sciences and experience in scientific computing. This is a remote position open worldwide.
Responsibilities
- Design and build capability evaluations to test for scientific risks from cutting-edge scientific models integrated with automated physical labs.
- Coordinate and lead threat modelling exercises with internal and external scientific experts.
- Develop and curate high-quality training and test data for evals and safety systems.
- Evaluate risks from Lila’s capabilities, including interactions with the wider ecosystem of capabilities.
- Contribute to broader research efforts for scientific capability evaluation and restriction.
- Contribute to external communications on Lila’s safety efforts.
Requirements
- PhD in a biological sciences domain (e.g., molecular biology, virology, computational biology) or a physical sciences domain (e.g., materials sciences, physics, chemistry, chemical/nuclear engineering).
- Experience in scientific computing across biological or physical sciences.
L
Lila
Cambridge · US · 449+ employees
Lila Sciences is a scientific superintelligence platform and autonomous lab that integrates AI with physical experimentation for life, chemistry, and materials science. The company's platform, powered by its AI-driven "Lila Iris," is designed to generate hypotheses, design and run experiments, and analyze results in real time to accelerate scientific discovery.
