Research Scientist - AI Safety Red Teaming

Meta is seeking a Research Scientist to advance the frontiers of artificial intelligence across foundational and applied research domains. In this role, you will conduct original AI research with the potential to shape the next generation of intelligent systems, spanning areas such as large language models, multimodal learning, reasoning, generalization, and AI alignment. You will work within a collaborative research environment, translating scientific breakthroughs into real-world impact across Meta's AI-powered products and platforms, while contributing to the broader scientific community through publications and open research.

Research Scientist - AI Safety Red Teaming Responsibilities:

• Design and execute original research programs in artificial intelligence, including large-scale language modeling, multimodal learning, reasoning, or related foundational AI areas
• Develop and evaluate novel algorithms, architectures, and training methodologies that advance the state of the art in AI research
• Implement the most technically challenging components of research systems, ensuring rigor in experimental design, evaluation, and reproducibility
• Define research metrics and evaluation frameworks to measure progress against long-term scientific and product objectives
• Lead the technical design of research initiatives, including scoping, milestone planning, and cross-functional coordination with engineering and product teams
• Translate research findings into scalable systems and production-ready solutions in collaboration with applied engineering teams
• Mentor other researchers and engineers on the team, providing technical guidance and supporting their growth in AI research methodology
• Communicate research outcomes through internal technical reports, external publications, and presentations at leading AI conferences and workshops
• Identify and drive improvements to research infrastructure, tooling, and experimentation workflows to accelerate team-wide research velocity
• Contribute to recruiting efforts by evaluating candidates and articulating the team's research vision and strategic priorities
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8 years of experience conducting research in artificial intelligence, machine learning, or a closely related field, including industry or academic research settings
• Experience leading at least one major AI research initiative from conception through publication or production deployment
• Experience developing and implementing novel machine learning methods, including deep learning architectures, training at scale, or evaluation methodology
• Demonstrated track record of publishing research at peer-reviewed AI venues such as NeurIPS, ICML, ICLR, ACL, CVPR, or equivalent
• Experience communicating complex research findings in writing and presentations to both technical and non-technical audiences
  
  

Preferred Qualifications:

• Experience with large-scale distributed training of foundation models, including pretraining, fine-tuning, or reinforcement learning from human feedback
• Contributions to open-source AI research frameworks or widely cited work in areas such as multimodal learning, reasoning, generalization, or AI safety
• Experience bridging foundational AI research and applied product impact, including collaborating with engineering teams on production systems
  
  

About Meta:

Meta 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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$184,000/year to $257,000/year bonus equity benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.