AI Research Scientist - FAIR, MSL

Meta is seeking a Research Scientist to advance core machine learning research that powers products and systems at global scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling and large-scale model training. You will work alongside a team of researchers and engineers to translate foundational ML advances into real-world impact across Meta's AI-driven products and platforms. This is an opportunity to contribute to the scientific community through publications while building systems that shape how billions of people experience AI.

Responsibilities

Design and conduct original machine learning research in areas such as deep learning, generative models, representation learning, or optimization
Develop, implement, and evaluate novel ML algorithms and model architectures using large-scale training infrastructure
Translate research findings into production-ready systems in collaboration with engineering and product teams
Run controlled experiments to test research hypotheses and make data-driven decisions about model design and training strategies
Contribute to the preparation and submission of research papers to peer-reviewed venues and conferences
Participate in code reviews and maintain high standards for research code quality, reproducibility, and documentation
Instrument experiments with appropriate logging, monitoring, and evaluation metrics to understand model behavior at scale
Collaborate with cross-functional partners including data scientists, engineers, and product teams to identify high-impact research directions
Identify and address performance bottlenecks in model training and inference pipelines
Provide technical feedback to peers through design reviews, experiment critiques, and research discussions

Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
2+ years of experience conducting machine learning research, including developing and evaluating novel ML models or algorithms
Experience implementing machine learning systems in Python and at least one deep learning framework such as PyTorch
Experience designing and running experiments to validate research hypotheses, including statistical analysis of results
Experience communicating research findings in written form, such as technical reports, papers, or internal documentation Experience training or fine-tuning large-scale models on distributed compute infrastructure
Familiarity with research areas such as self-supervised learning, reinforcement learning or efficient model architectures
Experience bridging research prototypes and production ML systems in a collaborative engineering environment
Publication record at peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, or equivalent