Research Scientist Intern

Meta was built to help people connect and share, and over the last decade, our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep understanding of the users, ads, and any signals and contents related to their interactions.Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

**Research Scientist Intern - AI Core Machine Learning 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, leveraging various AI and ML techniques.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.

**Minimum Qualifications**:

- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience with Python, C++, C, Java, or other related languages
- Experience with research and building systems based on machine learning and/or deep learning methods

**Preferred Qualifications**:

- Intent to return to degree program after the completion of the internship/co-op
- Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training
- Experience working and communicating cross functionally in a team environment

**About Meta**: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.