Research Scientist,Meta Recommendation System Core modeling

Responsibilities

Conduct original research in a recommendation/ranking system
Design and execute experiments to develop and validate novel ranking modeling techniques, training objectives, and evaluation methodologies
Develop scalable approaches to language model pretraining, fine-tuning, and instruction following that advance the state of the art
Analyze model behavior, failure modes, and generalization properties to generate actionable research insights
Translate research findings into high-quality publications submitted to top-tier venues such as ACL, EMNLP, NeurIPS, ICML, and ICLR
Collaborate with cross-functional partners including engineers, product managers, and data scientists to apply language research to Meta's AI systems and products
Contribute to open-source releases and reproducible research artifacts that benefit the broader NLP research community
Mentor other researchers and engineers on the team, sharing technical expertise and providing feedback on research direction and execution
Identify and drive new research directions aligned with the team's long-term goals, proactively scoping projects and building stakeholder alignment
Use AI-augmented workflows to expand research productivity, accelerate experimentation, and explore cross-disciplinary problem spaces

Requirements

1+ years of research or industry experience in natural language processing, computational linguistics, or machine learning applied to language tasks
Experience developing and publishing novel approaches in NLP or language modeling at peer-reviewed venues such as ACL, EMNLP, NeurIPS, ICML, or ICLR
Experience designing, implementing, and evaluating large-scale language models or related deep learning systems using frameworks such as PyTorch
Experience communicating research findings and technical trade-offs in writing to both research and non-research audiences
Experience working collaboratively on research projects with cross-functional teams

Qualifications

Experience mentoring other researchers and contributing to the growth of a research team or community
Track record of open-source contributions or reproducible research artifacts in the NLP or machine learning community
Experience translating foundational research into production-scale systems or product applications
Research experience in language model alignment, reasoning, grounding, multilingual NLP, or efficient training and inference methods for large language models

Skills

Experience with natural language processing, computational linguistics, or machine learning applied to language tasks
Experience with large-scale language model pretraining, fine-tuning, and instruction following
Experience with AI-augmented workflows and tools for research productivity and experimentation

Benefits

Not specified

Pay

$154,000/year to $217,000/year + bonus + equity + benefits

Schedule

Not specified