- Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs
- Initial proof‑of‑conception safeguards, such as ML models to detect and block unsafe behavior from scientific AI models, as well as from physical lab outputs
- Understanding of a range of model capabilities, across primarily scientific but also non‑scientific domains (e.g. persuasion, deception) to inform Lila's broader safety strategy
- Broader, high‑quality research efforts – as and when needed – for scientific capability evaluation and restriction
- Bachelor's degree in a technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics), or related experience
- Strong programming skills in Python, and experience with ML frameworks (including, for instance, Inspect) for large‑scale evaluation and scaffolded testing
- Experience in building evaluations, or conducting red‑teaming exercises, for CBRN / cyber risks (or for frontier model capabilities more generally, including both unsafe and benign capabilities)
- Experience in designing and/or implementing (directly or through consultation) AI safety frameworks for frontier AI companies
- Ability to communicate complex technical concepts and concerns to non‑expert audiences effectively
- Masters or PhD in a field relevant to safety evaluations of AI models in scientific domains, or a technical field
- Publications in AI safety / evaluations / model behaviour in top ML / AI conferences (NeurIPS, ICML, ICLR, ACL) or model release system cards
- Experience researching risks from novel science (e.g. biosecurity, computational biology, etc.) or working with narrow scientific tools (e.g. large scale foundation models for science)
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++We're building a talent-dense high-agency AI safety team at Lila to prepare for risks from scientific superintelligence. · ++Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs · ...
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We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. · The initial focus of this team will be to build an ...
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Ipsen is a growing global specialty-driven biopharmaceutical company focused on innovation and specialty care. · ...
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+ Clinical Scientist - Radiation Safety and Diagnostic Radiology Physics + Barts Health NHS Trust has a vision to be a high performing group of NHS hospitals + The post-holder will contribute to many aspects of the Department's work which includes testing of radiation and imaging ...
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Clinical Scientist - Radiation Safety and Diagnostic Radiology Physics at Barts Health NHS Trust. · ...
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Research Scientist I/II, AI Safety, Biological/ Physical Sciences
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Build a talent-dense AI safety team at Lila. Focus on technical safety strategy development and develop capability evaluations to test for scientific risks from cutting edge scientific models.A PhD in biological sciences or physical sciences. · Experience in scientific computing ...
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Senior/ Principal Research Scientist, AI Safety, Biological/ Physical Sciences
Only for registered members
We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. · Set the build and research strategy for Lila's saf ...
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We're building a talent-dense high-agency AI safety team that will engage all core teams within the organization to prepare for risks from scientific superintelligence. · ...
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Research Scientist I/II, AI Safety, Biological/ Physical Sciences
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+We're building a talent-dense high-agency AI safety team at Lila that will engage all core teams within the organization science model training lab integration etc. to prepare for risks from scientific superintelligence. · +h2>Responsibilities · Design and build capability evalu ...
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Associate Director, Safety Analysis Scientist, Cell Therapy
Only for registered members
We are searching for the best talent for the Associate Director,Safety Analysis Scientist,C Cell Therapy. The Associate Director,Safety Analysis Scientist (SAS),Cell Therapy provides scientific expertise and leads the safety assessment of assigned products. · The AD SAS will supp ...
High Wycombe $137,000 - $235,750 (USD) Full time2 weeks ago
Scientist/Sr. Scientist, AI Safety - Greater London - Lila Sciences
Description
3 days ago Be among the first 25 applicants
What You'll Be Building
What You'll Need to Succeed
Bonus Points For
About Lila
Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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