Research Scientist, PAR Safety - Meta Superintelligence Labs

Meta; Menlo Park (CA); On-site; USD 200,000 - 320,000; Full time

Job summary

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

Qualifications

• 8+ years of AI/ML research experience in industry or academia.
• Experience leading a major AI research initiative from conception to publication or deployment.
• Strong publication record in NeurIPS, ICML, ICLR, ACL, CVPR, or related venues.
• Experience scaling training of foundation models and distributed training.

Responsibilities

• Design and execute AI research programs across LLMs, multimodal learning, and reasoning.
• Develop novel ML methods and scalable training methodologies.
• Build robust research infrastructure and reproducible experiments.
• Define metrics and evaluation frameworks aligned with long-term goals.
• Lead research initiatives with cross-functional engineering and product teams.
• Mentor researchers and engineers in AI research methods.
• Communicate outcomes via internal reports, publications, and conferences.
• Contribute to recruiting by shaping research vision and priorities.

Skills

Research leadership

Mentoring

Scientific communication

Education

Bachelor's degree in CS/related field

PhD in CS/AI/ML or related field

Job description

About

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.

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 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
• PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field, or equivalent research experience