Lila Sciences - Staff / Principal Research Engineer, AI Safety Mitigations
Requirements
• Hands-on experience developing and validating safety interventions for frontier models within training, post-training or large-scale inference systems, with contributions to model development or release cycles. • Depth in at least one relevant area, such as safety post-training, model-level classifiers, safeguards integrated into inference, or abuse monitoring and enforcement across a model-serving platform. • Experience working directly with model-development or safeguards teams, using access appropriate to the intervention—such as training pipelines, model internals, inference infrastructure or systematic evaluation access—to investigate failures and implement improvements. • Strong research-engineering skills and the ability to move from an ambiguous problem to working, maintainable implementations. • Sound experimental judgment, including an ability to assess robustness, interpret imperfect metrics and reason about competing objectives. • The ability to collaborate across research and engineering teams, explain technical trade-offs and take ownership of complex individual contributions. • Experience with scientific models, scientific software or laboratory-connected systems. • Safety work involving tool-using agents, multi-step workflows or high-consequence misuse. • Experience connecting expert-generated evidence and policy requirements to training data, evaluation criteria or operational controls.
Benefits
• We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. • U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market. • $224,000—$336,000 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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