[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Menlo Park, CA # AI Research Scientist, AI Safety and Security Menlo Park, CA Research & Science Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1873038390772808/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / AI Research Scientist, AI Safety and Security ## Job description The Research Scientist candidate will use their skills in system design and modeling to advance AI safety and security research. These roles will require research and problem-solving skills to design, develop, and evaluate novel approaches to ensuring AI systems are safe, secure, and aligned with human values. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization. ## Responsibilities - Perform fundamental and applied research to advance the scientific and technological frontiers of AI safety and security - Develop and evaluate methods for ensuring AI systems behave safely and as intended, including alignment techniques and robustness testing - Investigate paradigms for detecting and mitigating adversarial attacks, model vulnerabilities, and potential misuse of AI systems - Develop algorithms based on state-of-the-art machine learning and neural network methodologies with a focus on safety and security - Define, build and benchmark new safety and security functionalities needed for the next generation of AI Conduct research towards long-term product goals while identifying intermediate milestones - Plan and execute novel research based on long-term objectives of the organization ## Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Computer Security, a related field, or equivalent practical experience Experience with any of the following research areas: AI safety, AI alignment, adversarial machine learning, model robustness, AI security, red-teaming AI systems, interpretability, or trustworthy AI Experience in relevant AI safety and security research areas, such as: alignment techniques, reward modeling, RLHF, constitutional AI, jailbreak prevention, model robustness, or adversarial attack detection Experience working with large language models and evaluating their safety properties - 2+ years of industry experience in relevant AI safety and security research areas Experience building systems based on machine learning and/or deep learning methods - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Security (IEEE S&P, USENIX Security, CCS), or AI Safety venues Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience working and communicating cross-functionally in a team environment - Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Menlo Park, CA[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1873038390772808/) ## More jobs at Meta Platforms ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Manager - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/2b9038fb99fde6a938ed/) Menlo Park, CA ### [AI Research Scientist - MSL FAIR Foundations](https://jobs.opennash.com/companies/meta-platforms/jobs/d18ce9293309ea34ebd4/) Menlo Park, CA ### [AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/44ab514fe53310304599/) Menlo Park, CA ### [AI Research Scientist, Robotics - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/f52f61c03c869aa03735/) Menlo Park, CA ## Similar jobs at other companies ### [Research Intern - Security Research Group, Microsoft Research Redmond](https://jobs.opennash.com/companies/microsoft/jobs/e20a289b1da2cb10c995/) Microsoft · United States, Washington, Redmond ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO ### [Data Scientist, Operations Research](https://jobs.opennash.com/companies/cardinal-health/jobs/ce82441f816d003d13aa/) Cardinal Health · International [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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