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Research Scientist, AI Language

Meta· Artificial Intelligence
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Menlo Park, CA$184k - $257kFull-timePosted 1w ago

About the role

Research Scientist role focused on advancing natural language processing and large language model research within Meta Superintelligence Labs, conducting foundational and applied research in language understanding, generation, reasoning, and alignment, and translating research into production language AI systems.

Responsibilities

  • Design and execute original research on large language models, covering post-training, instruction tuning, reasoning, alignment, agentic tool calling and evaluation
  • Develop novel architectures, training objectives, and data curation strategies to improve language model capabilities and reliability
  • Lead end-to-end research projects including problem formulation, experimental design, analysis, and communication of findings to technical and non-technical stakeholders
  • Build and maintain rigorous evaluation frameworks and benchmarks to measure language model performance across diverse tasks and domains
  • Collaborate with cross-functional partners in engineering, product, and policy to translate research advances into production language AI systems
  • Identify and drive improvements to training pipelines, data quality, and model efficiency using instrumentation, profiling, and systematic experimentation
  • Mentor other researchers and engineers on the team, providing technical guidance on language model research methodology and best practices
  • Leverage AI-assisted tools and workflows to accelerate research iteration, code quality, and cross-disciplinary collaboration

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of research or industry experience in natural language processing, large language models, or a closely related area of machine learning
  • Experience leading complex, multi-stage research projects from problem definition through publication or production deployment
  • Track record of publications at peer-reviewed NLP or machine learning conferences such as ACL, EMNLP, NAACL, NeurIPS, ICML, or ICLR
  • Hands-on experience training, fine-tuning, or evaluating large language models using frameworks such as PyTorch
  • Experience communicating research findings and technical decisions in writing to both research and engineering audiences, including design documents and technical reports

Skills

Required:Natural Language ProcessingLarge Language ModelsPyTorch
Last updated Oct 23, 2026. Interested? Apply on the company site.

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