Research Scientist, Machine Learning

Meta; Menlo Park, New York (CA, NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Meta seeks a Research Scientist to advance ads AI research. You will conduct original research in operations research, optimization, representation learning, time series forecasting, or generative modeling, with the goal of breakthroughs powering Meta's AI-driven ads.

You will collaborate with researchers and engineers to translate findings into production-scale impact, publish in top venues, and mentor others to grow the research stack.

Qualifications

• Bachelor's degree in CS/CE or related field.
• 2+ years of ML research experience with novel models or training methods.
• Publications in peer-reviewed ML venues (NeurIPS/ICML/ICLR/CVPR/ACL).
• Experience with PyTorch or TensorFlow for large-scale models.
• Experience designing experiments with appropriate metrics and analysis.
• Ability to communicate research clearly in writing to diverse audiences.
• PhD in CS/AI/ML or related field.
• Research in operations research, optimization, forecasting, multimodal learning, RL, or generative modeling.
• Demonstrated ability to identify high-impact research directions.
• Experience mentoring researchers and contributing to a research org.

Responsibilities

• Conduct original ML research in ads AI across multiple domains.
• Publish findings in leading ML venues and write technical reports.
• Collaborate with researchers and engineers to deploy research at scale.
• Translate novel findings into real-world impact at production scale.
• Mentor other researchers and contribute to the growth of the team.
• Identify high-impact research directions aligned with long-term goals.

Skills

Original ML research

Representation learning

Time series forecasting

Generative modeling

Optimization

Operations research

Mentoring

Research publication

Education

Bachelor's degree in CS/CE or related field

PhD in CS/AI/ML or related field

Tools

PyTorch

TensorFlow

Job description

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.

• 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