Research Scientist, Machine Learning

**Summary:** 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. **Required Skills:** Research Scientist, Machine Learning Responsibilities: 1. Design and execute original AI research projects spanning areas such as deep learning architectures, optimization methods, and generative models 2. Design optimization and forecasting methods for allocation planning and marketplace optimization 3. Develop and validate novel algorithms and modeling approaches through rigorous experimentation, ablation studies, and statistical analysis 4. Translate research findings into scalable implementations that can be integrated into production AI systems serving billions of users 5. Define and instrument evaluation frameworks, benchmarks, and metrics to measure research progress and model quality 6. Collaborate with cross-functional partners across engineering, product, and data science to align research directions with high-impact product opportunities 7. Communicate research findings through internal technical reports, external publications, and presentations to both technical and non-technical audiences 8. Mentor other researchers and engineers on the team, providing technical guidance and constructive feedback on research methodology and implementation 9. Drive the technical roadmap for one or more research areas, identifying opportunities, building stakeholder alignment, and coordinating execution across teams 10. Contribute to the broader research community through peer-reviewed publications, open-source contributions, and participation in academic and industry venues **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. 2+ years of experience conducting machine learning research, including developing and evaluating novel models, algorithms, or training methodologies 13. Experience publishing original research in peer-reviewed machine learning venues such as NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent 14. Experience implementing and training large-scale machine learning models using frameworks such as PyTorch or TensorFlow 15. Experience designing experiments, selecting appropriate metrics, and drawing statistically sound conclusions from empirical results 16. Experience communicating complex research findings in writing to both technical and non-technical stakeholders through papers, design documents, or technical reports 17. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field **Preferred Qualifications:** Preferred Qualifications: 18. Research experience in one or more specialized areas such as operations research, optimization, forecasting, multimodal learning, reinforcement learning, or generative modeling 19. Demonstrated ability to identify high-impact research directions that align with long-term product or platform goals 20. Experience mentoring other researchers and contributing to the technical growth of a research organization 21. Track record of driving research from initial hypothesis through production deployment at scale, including collaboration with applied engineering teams **Public Compensation:** $154,000/year to $217,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.