Research Scientist, AI Language

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking a Research Scientist to advance NLP and large language model research within the Meta Superintelligence Labs. You will conduct foundational and applied research on language understanding, generation, reasoning, and alignment, contributing to next-generation language models powering Meta's AI products at global scale.

You will drive research from conception through publication and production integration, collaborating with world-class researchers and engineers to shape the

Qualifications

• Bachelor's degree in a relevant technical field or equivalent practical experience.
• 8+ years of research or industry experience in NLP/LLMs or related ML fields.
• Experience leading complex, multi-stage research projects from problem definition to publication or deployment.
• Track record of publications at peer-reviewed NLP/ML venues.
• Hands-on experience training/fine-tuning/evaluating LLMs using PyTorch.

Responsibilities

• Design and execute original research on large language models (LLMs) and related areas.
• Lead end-to-end research projects from conception to production deployment.
• Develop architectures, objectives, and data strategies to improve language model capabilities.
• Build evaluation frameworks and benchmarks across diverse tasks and domains.
• Mentor researchers and engineers, sharing methodology and best practices.
• Collaborate with cross-functional partners to translate research into production AI systems.

Skills

Research leadership

Publication track record

Technical communication

Education

Bachelor's degree in CS/CE or equivalent

Tools

PyTorch

Job description

Meta is seeking a Research Scientist to advance the frontiers of natural language processing and large language model research within Meta Superintelligence Labs. In this role, you will conduct foundational and applied research on language understanding, generation, reasoning, and alignment, contributing directly to the development of next-generation language models that power Meta's AI products and services at global scale. You will drive high-impact research from conception through publication and production integration, collaborating with world-class researchers and engineers to shape the trajectory of language AI.

Research Scientist, AI Language Responsibilities:

• Design and execute original research on large language models, covering areas such as 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

Minimum 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

Preferred Qualifications:

• Experience bridging foundational language model research with production systems, including model evaluation at scale and staged rollout using feature flagging and A/B testing frameworks
• Experience designing and curating large-scale pretraining or fine-tuning datasets, including data quality filtering, deduplication, and domain mixing strategies
• Experience with large-scale distributed training of language models across hundreds or thousands of GPUs, including optimization of training stability and throughput
• Demonstrated research contributions in areas such as reasoning, instruction following, reinforcement learning from human feedback, or model alignment and safety

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 Affinity 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 [e-mail].

$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.