Research Engineer, Preparedness - Meta Superintelligence Labs

Meta is seeking Research Engineers to join the Preparedness team within Meta Superintelligence Labs. The Preparedness team evaluates the increasing capabilities of our AI systems, with a focus on frontier AI capabilities and risks. We ensure that evaluations are in place to mitigate these risks and responsibly handle the development of frontier AI. As a Research Engineer on Preparedness, you will work alongside world-class AI researchers to develop new evaluations grounded in real world threat models, maintain existing evaluations so they remain current and reliable, and produce written artifacts that Meta can trust during high-stakes launches. This is a highly technical role requiring the ability to solve machine learning and engineering with high reliability. The evaluations you build will directly inform risk assessments and launch decisions within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. Preparedness is a highly interdisciplinary team, tightly connecting evaluations, internal red teaming, and mitigations for our frontier models. The evaluations you produce will be read and acted upon by Meta leadership during model launches and policy reviews.Minimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience3+ years of experience in machine learning engineering, machine learning research, or a related technical roleProficiency in Python and experience with ML frameworksExperience identifying, designing and completing medium to large technical features independently, without guidanceProven experience in software engineering practices including version control, testing, and code review practicesPreferred QualificationsExperience implementing or developing benchmarks for agentic large language models and multimodal models (e.g., vision-language, audio, video, browser agents)Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, AI safety, or deep learningExperience working with large-scale distributed systems and data pipelinesExperience in red-teaming AI systems, adversarial machine learning, or abuse prevention systemsBackground in biology or chemistry, particularly chemical, biological, radiological, and nuclear (CBRN) risk domains and experience designing evaluations or threat assessments related to dual-use scientific knowledgeBackground in cybersecurity, penetration testing, or security research, particularly as it relates to assessing AI-enabled cyber capabilities or designing mitigations for AI-assisted exploitationTrack record of open-source contributions to ML evaluation tools or benchmarksResponsibilitiesBuild and continuously refine evaluations for multimodal and agentic frontier AI models, including in cybersecurity, chemical security, and biosecurityBuild robust, reusable evaluation pipelines that scale across multiple model lines and product areasProduce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speedScope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta's frontier models evolveWork across research, engineering, policy, and legal teams to align evaluation priorities with launch timelinesAbout MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.