Meta is seeking AI Research interns to optimize the video recommendation system on Facebook, which accounts for 1.2+ Billion hours/day of user engagement, to provide users with the most engaging and high-quality content.
Requirements
- Experience with Python, C++, C, Java or other related language
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Familiarity with machine learning and common deep learning architectures
- Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems
- Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
Responsibilities
- Perform research to advance the science and technology of intelligent machines
- Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
- Analyze and improve efficiency, scalability, and stability of various deployed systems
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
- Publish research results and contribute to research that can be applied to Meta product development
Other
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Intent to return to the degree program after the completion of the internship/co-op
- Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences
- Experience working and communicating cross functionally in a fast-paced team environment
