Research Scientist Intern, AI Core Machine Learning (PhD)
About The Position
Meta is seeking Research Interns to join Monetization Ranking & AI Foundations. The team works to serve personalized ads that maximize personal utility and advertiser value, and advances AI and machine learning technologies across areas including ranking, retrieval, supply, model architecture, representation learning, optimization, and understanding users, ads, and signals and content related to their interactions. Interns collaborate closely with researchers and engineers within the organization and across Meta, including FAIR; conduct state-of-the-art research; share findings through top-tier publications and open source; and integrate research innovations at scale. Internships last 12 to 16 weeks, or 24 weeks, with various start dates throughout the year.
Requirements
- Currently has or is pursuing a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or a related technical field.
- Must obtain work authorization in the country of employment by the time of hire and maintain it during employment.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with Python, C++, C, Java, or another related programming language.
- Experience conducting research and building systems based on machine learning and/or deep learning methods.
Nice To Haves
- Intent to return to a degree program after completing the internship or co-op.
- Track record of significant research results, demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
- Software engineering experience demonstrated through an internship, work experience, coding competitions, or widely used contributions to open-source repositories such as GitHub.
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
- Experience manipulating and analyzing complex, high-volume, high-dimensional data from varied sources for large-scale training.
- Experience working and communicating cross-functionally in a team environment.
Responsibilities
- Conduct state-of-the-art research to advance the science and technology of machine learning and artificial intelligence.
- Develop novel algorithms and corresponding systems using AI and machine learning techniques.
- Analyze and improve the efficiency, scalability, and stability of deployed algorithms.
- Collaborate with researchers and engineers across disciplines, communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
