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SalaryMeta is seeking Research Interns to join our Multimodal team within PyTorch to work on innovative problems that would power the next generation of Meta products and platforms at scale. Our team’s mission is to accelerate innovation and push the SoTA in Multimodal AI, democratize this research in open-source, and use this innovation to drive business impact for Meta. Our work spans across multiple areas within Multimodal AI, Computer Vision and NLP including designing SoTA models, architectures and training paradigms to drive improvements in the quality of foundation models that can understanding multiple types of inputs (text, images, videos and audio), and optionally use this understanding to generate multiple types of outputs. Along with algorithmic innovation, we focus on incorporating and innovating on the recent trends in scaling to push model quality and compute efficiency. In this role, you will collaborate with researchers and platform experts from PyTorch and AI Applied Research.Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.
- Develop novel state-of-the-art multimodal algorithms and corresponding systems, leveraging various deep learning techniques
- Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day
- Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
- Collaborate with team members, all the way from prototyping in a notebook to potentially deploying at scale
Minimum Qualifications:
- Currently has, or is in the process of obtaining a PhD degree in the domain of Multimodal AI or related field
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience in Python, with other major languages (C++, Java), or similar
- Research and/or work experience in machine learning, deep learning, CV, and/or NLP
Preferred Qualifications:
- Familiarity with PyTorch and/or other popular frameworks for building and training deep learning and machine learning models
- Intent to return to degree-program after the completion of the internship/co-op
- Experience solving analytical problems using quantitative approaches
- Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top AI conferences such as CVPR, ECCV, ICCV, ICLR, NEURIPS, ICML, ACL, EMNLP, SIGGRAPH or similar
- Experience in communicating complex research in a clear, precise, and actionable manner
- Interest in theoretical and empirical research and for answering hard questions with research
- Interpersonal experience: cross-group and cross-culture collaboration
- Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed
Facebook is proud to be an Equal 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.Facebook 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@fb.com.
