Meta AI is seeking a Research Scientist specializing in contextual AI to advance the next generation of intelligent systems that understand and respond to real-world context across Meta's family of products and platforms. In this role, you will conduct foundational and applied research at the intersection of large language models, multimodal understanding, and context-aware reasoning, with the goal of enabling AI systems that are deeply grounded in user intent, situational awareness, and dynamic environments. Your work will directly shape how Meta's AI products perceive, interpret, and act on contextual signals at scale.
Research Scientist, Contextual AI Responsibilities:
- Design and conduct original research on contextual reasoning, grounding, and situational awareness in large-scale AI systems
- Develop novel architectures and training methodologies for context-aware language and multimodal models that generalize across diverse real-world scenarios
- Lead the technical design and execution of research initiatives spanning model development, evaluation frameworks, and deployment strategies for contextual AI
- Collaborate with product and engineering teams to transition contextual AI research into scalable, production-ready systems
- Define and drive evaluation benchmarks and metrics that measure contextual understanding, relevance, and model reliability
- Leverage AI-accelerated workflows and tooling to iterate rapidly on research hypotheses and scale experimental throughput
- Identify and resolve complex failure modes in contextual AI systems through rigorous analysis, instrumentation, and targeted model improvements
- Mentor other researchers and engineers on contextual AI methodologies, research best practices, and AI-native development workflows
- Communicate research findings through publications, internal technical reports, and cross-functional presentations to influence the broader AI research community and internal stakeholders
- Contribute to the strategic roadmap for contextual AI at Meta by identifying high-impact research directions and building consensus across research and product leadership
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of research or applied experience in machine learning, natural language processing, or multimodal AI with a focus on contextual understanding, grounding, or situational reasoning
- Experience developing and publishing novel AI or machine learning approaches in peer-reviewed venues
- Experience building and evaluating large-scale language or multimodal models, including pretraining, fine-tuning, and context-conditioned inference
- Proficiency in Python and deep learning frameworks such as PyTorch, including experience scaling model training and inference across distributed compute environments
- Experience leading research projects from problem formulation through experimental validation and production impact, including cross-functional collaboration with engineering and product teams
Preferred Qualifications:
- Experience designing context-aware AI systems that operate over long-horizon inputs, structured knowledge sources, or heterogeneous multimodal signals
- Experience defining evaluation frameworks and benchmarks for open-ended or context-dependent AI tasks where ground truth is ambiguous or distribution-shifted
- Proven publication record at top-tier AI and NLP venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or CVPR, with contributions specifically in contextual reasoning, retrieval-augmented generation, or grounded language understanding
- Track record of transitioning research prototypes into large-scale production AI systems with measurable improvements in user-facing contextual relevance or task completion
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.
