Staff / Principal Research Engineer, AI Safety, Technical Mitigations

Staff / Principal Engineer, Technical Mitigations Research Cambridge, MA USA; London, UK; San Francisco, CA USA 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 and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety‑focused evaluations, safety systems to mitigate risks, and a safety research agenda that explores longer–term needs such as oversight of superintelligent scientific systems. We’re seeking a Technical Mitigations Lead, to lead the build‑out of safety systems at Lila for the safe deployment of our scientific capabilities to the world. Given the novelty of Lila’s workflows, integrating frontier‑class language models with narrow scientific tools and lab‑based automation, this role will require the design and deployment of technical safeguards beyond the current state‑of‑the‑art. We expect the person in this role to start off the initial mitigations build‑out, and then slowly build a team to support this function. What You'll Be Building Set the build and research strategy for Lila’s safety systems, across scientific data analysis and generation pipelines, safety post‑training, refusal classifiers, automated safety‑testing / red‑teaming systems, and monitoring systems. Conduct initial safeguards experimentation and buildout for Lila’s specific scientific needs, and subsequently lead a small team to execute on the build and research agenda. Lead safety systems research to iterate Lila’s systems beyond the state of the art, given the needs of technical safeguards for both in‑silico and lab‑based scientific workflows. Partner closely with Other members of the safety team, such as domain‑specific experts (bio, chem, materials) and eval build‑out teams, and Non‑safety teams, such as core AI, lab automation, and product teams. Contributing to broader, high‑quality research efforts - as and when needed - for scientific capability evaluation and restriction. Contribute to external communications on Lila’s safety efforts. What You’ll Need to Succeed Track record of building safety systems, classifiers, or conducting post‑training for frontier‑class problems - science, reasoning, programming, etc. 4‑6+ years working in technically engineering with ML systems. Experience building scalable, production systems, not just prototypes. Demonstrated ability to set research directions for open problems in post‑training, classifier build‑outs, and other relevant systems. Ability to communicate complex technical concepts and concerns to non‑expert audiences effectively. Bonus Points For Experience in developing or applying ML to biological or physical sciences. Experience in building safeguards for scientific risks for frontier models / narrow scientific tools. Demonstrated ability to lead teams towards engineering goals. 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 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. 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. Compensation We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. Expected Base Salary Range

$224,000 - $336,000 USD