Research Scientist Intern, Ai For Egocentric Representation Learning (Phd)

Summary
Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: multimodal learning, self-supervised learning, video understanding, Representation Learning.
Research Scientist Intern, AI for Egocentric Representation Learning (PhD) Responsibilities:

• Develop, implement, and evaluate methods for learning robust representations from multi-modal egocentric data (e.g., video, audio, inertial motion units).
• Make use of Meta's large infrastructure to scale and speed up experimentation.
• Write modular research code that can be reused in other contexts.
• Collaborate with other researchers.
• The work should result in publishable research to appear in a top-tier ML or CV conference (e.g., NeurIPS, ICLR, CVPR, ECCV).

Minimum Qualifications:

• Currently has or is in the process of pursuing a PhD in machine learning, computer vision, speech processing, applied statistics, computational neuroscience, or a related field.
• Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.
• Proficiency in python and machine learning libraries (numpy, scikit-learn, scipy, pandas, matplotlib, tensorflow, pytorch).
• Deep understanding of at least one of the following areas: Transfer, few-shot, zero-shot, continual and/or online learning, self-supervised learning, or multi- or cross-modal learning.
• Interpersonal skills: cross-group and cross-culture collaboration.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Published at least one paper in a top ML conference (NeurIPS, ICML, ICLR, etc).
• Experience with deep metric learning / neural net embedding methods.

EOE
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