More jobs:
Research Scientist, Machine Learning
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-10-22
Listing for:
Meta
Full Time
position Listed on 2026-10-22
Job specializations:
-
Research/Development
AI Business & Operations, Data Scientist
Job Description & How to Apply Below
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 Tensor Flow
- 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
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