Meta is seeking to advance the science and technology of intelligent machines to improve the recommendation of contents to users on Facebook, addressing critical pain points and generating correct sequences of 'words' for the giant number of Facebook users.
Requirements
- Experience with Python, C++, C, Java or other related language
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience building systems based on machine learning, deep learning methods, or natural language processing
- Familiarity with algorithms behind generative model training and common deep learning architectures (Transformers, GPTs, BERT etc.)
- 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
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
- Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories
