Lila Sciences - Research Scientist I/II, AI Safety, Biological/ Physical Sciences
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Requirements
• A PhD in either a biological sciences domain (e.g., molecular biology, virology, computational biology or related fields) or a physical sciences domain (materials sciences, physics, chemistry, chemical or nuclear engineering, or related fields), or other related experience. • Experience in scientific computing, across either biological or physical sciences. • Familiarity with dual-use research and dissemination concerns, across the relevant safety / regulatory / governance frameworks (e.g. export control frameworks, biological and chemical-related conventions and controls). • Ability to communicate complex technical concepts and concerns to non-expert audiences effectively. • Demonstrated ability to lead teams of internal and external collaborators in buildout of Lila’s point-of-view on biological / physical risks • Demonstrated ability to deal with cross-functional stakeholders (science, AI, product, policy) in a complex environment. • Experience in developing or applying ML to biological or physical sciences • Experience in building evaluations, or conducting red-teaming exercises, across scientific risks for frontier models / narrow scientific tools. • Location • This position may be based in any of Lila's offices, including Cambridge (MA), San Francisco (CA), or London (UK). • 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 www.lila.ai • If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
Responsibilities
• Design and build capability evaluations to test for scientific risks from cutting edge 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 through interactions with the wider ecosystem of capabilities (e.g., general-purpose frontier models as well as narrow scientific tools). • Contribute to broader research efforts - as needed - for scientific capability evaluation and restriction. • Contribute to external communications on Lila’s safety efforts.
Benefits
• For US-based candidates (Cambridge or San Francisco), we expect the base salary for this role to fall between $176,000–$304,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. • $176,000–$304,000 USD per year • For UK-based candidates, compensation will be determined separately and will be aligned with local market benchmarks and internal leveling. • We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. • $176,000 - $304,000 USD • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. • LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. • Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. • 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 • 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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