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.

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

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

Learn more about this Employer on their Career Site

Research Scientist, Contextual AI