Research Scientist Intern, Gen AI - CV for AI Social Experiences (PhD)
Meta

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 the Generative AI team, focusing on AI social experiences and visual products. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Research Scientist Intern, Gen AI - CV for AI Social Experiences (PhD) Responsibilities:

• Perform research to advance the science and technology of computer vision (CV) and generative AI.
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
• Experimenting with CV on large-scale (multimodal/multi-application) data.
• Improve the efficiency, scalability, and performance of CV systems
• optimizing for real-world applications, and devise better data-driven models of image generation and text generation.
• Collaborate with researchers and cross-functional teams, sharing research plans, progress, and findings.
• Contribute to Meta's CV-focused research and publish results that can impact Meta's products and services.

Minimum Qualifications:

• Experience with Python, C++, or related programming languages.
• Experience developing and building systems based on deep learning and/or machine learning.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL.
• Experience with Generative AI, including diffusion models and LLM's.
• Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision.
• Experience in deep learning frameworks such as PyTorch or TensorFlow.
• Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
• Experience solving analytical problems using quantitative approaches.
• Experience setting up ML experiments and analyzing their results.
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
• Experience in utilizing theoretical and empirical research to solve problems.
• Experience working and communicating cross functionally in a team environment.

About Meta: