Research Scientist, Machine Learning

Meta is seeking a Research Scientist to advance the state of the art in ads AI research. In this role, you will conduct original research in areas such as operations research, optimization, representation learning, time series forecasting, or generative modeling, with the goal of driving fundamental breakthroughs that power Meta's AI-driven ads product and beyond. You will work alongside researchers and engineers to translate novel findings into real-world impact at unprecedented scale.

Responsibilities

Design and execute original AI research projects spanning areas such as deep learning architectures, optimization methods, and generative models
Design optimization and forecasting methods for allocation planning and marketplace optimization
Develop and validate novel algorithms and modeling approaches through rigorous experimentation, ablation studies, and statistical analysis
Translate research findings into scalable implementations that can be integrated into production AI systems serving billions of users
Define and instrument evaluation frameworks, benchmarks, and metrics to measure research progress and model quality
Collaborate with cross-functional partners across engineering, product, and data science to align research directions with high-impact product opportunities
Communicate research findings through internal technical reports, external publications, and presentations to both technical and non-technical audiences
Mentor other researchers and engineers on the team, providing technical guidance and constructive feedback on research methodology and implementation
Drive the technical roadmap for one or more research areas, identifying opportunities, building stakeholder alignment, and coordinating execution across teams
Contribute to the broader research community through peer-reviewed publications, open-source contributions, and participation in academic and industry venues

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of experience conducting machine learning research, including developing and evaluating novel models, algorithms, or training methodologies
Experience publishing original research in peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent
Experience implementing and training large-scale machine learning models using frameworks such as PyTorch or TensorFlow
Experience designing experiments, selecting appropriate metrics, and drawing statistically sound conclusions from empirical results
Experience communicating complex research findings in writing to both technical and non-technical stakeholders through papers, design documents, or technical reports
Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field Research experience in one or more specialized areas such as operations research, optimization, forecasting, multimodal learning, reinforcement learning, or generative modeling
Demonstrated ability to identify high-impact research directions that align with long-term product or platform goals
Experience mentoring other researchers and contributing to the technical growth of a research organization
Track record of driving research from initial hypothesis through production deployment at scale, including collaboration with applied engineering teams