Research Scientist Intern, FAIR Embodiment & Actions (PhD)

This internship is based in Paris, France.

Responsibilities:

• Develop novel and accurate multimodal 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.
• Contribute to research that can be applied to Meta product development and publish results with other researchers.

Minimum Qualifications:

• Currently has or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Multimodality, or relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience with Python, C++, C, Java or other related languages.
• Experience with deep learning frameworks such as Pytorch or Tensorflow.
• Experience building systems based on machine learning, deep learning methods, or natural language processing.

Preferred Qualifications:

• Intent to return to a 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.
• Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval.