Research Scientist Intern, AI Applied Research - Computer Vision (PhD)
Meta

Job Info

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Meta AI is seeking exceptional interns to join its Perception team at AI for Reality Labs to work on innovative problems that would power the next generation product and platforms at scale. The problems range from various research domains and require pushing SOTA research for help building the future of AR/VR. Our teams are looking for candidates with expertise in the Computer Vision & Multimodality domain, such as activity recognition, object recognition, scene understanding, text recognition, egocentric vision, multi-sensor fusion, vision-language, 3d modeling, representation learning, virtual content generation , and recommendation and integrity. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, AI Applied Research - Computer Vision (PhD) Responsibilities:

• Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques
• Contribute to research that can eventually be applied to Facebook product and run on billions of media items every day
• Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
• Collaborate with team members, all the way from prototyping in a notebook to potentially deploying at scale

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Deep Learning, Computer Vision, or similar
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience in Python

Preferred Qualifications:

• Prior experience with deep learning frameworks
• Research and/or work experience in Machine Learning, Deep Learning, Natural Language Processing, and/or Computer Vision
• Extensive experience solving analytical problems using quantitative approaches
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or top AI conferences such as CVPR, ECCV, ICCV, SIGGRAPH or similar
• Experience communicating complex research in a clear, precise, and actionable manner
• A strong interest in theoretical and empirical research and for answering hard questions with research
• Interpersonal experience: cross-group and cross-culture collaboration
• Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed
• Prior experience in activity recognition, object recognition, text recognition, egocentric vision, multi-sensor fusion, vision-language, representation learning, 3D generation, integrity, or related domains
• Intent to return to degree-program after the completion of the internship/co-op
• Experience working and communicating cross functionally in a team environment

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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