Advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world at Meta
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 and/or deep learning methods
Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Contribute to research that can be applied to Meta product development
Other
Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, 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 degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
