Meta AR/VR Job | Research Scientist Intern, Security and Privacy (PhD)

Job(岗位): Research Scientist Intern, Security and Privacy (PhD)

Type(岗位类型): Computer Vision

Citys(岗位城市): Redmond, WA

Date(发布日期): 2022-12-22


Reality Labs Research (RLR) brings together a diverse team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal research group at RLR is seeking a research intern to help solve the next generation of challenges on the path to building future machine perception enabled technologies. In particular, the research intern will analyze and assess new classes of security and privacy vulnerabilities in the context of emerging technologies that will form the basis of the AR/VR hardware stack; knowledge of computer vision and machine learning algorithms for AR/VR use cases is not required but will be helpful. The work involves assessing experimental research systems and working with an interdisciplinary team to identify and concretize potential threats against future algorithms.


Currently has, or is in the process of obtaining, a PhD in the field of security, privacy, computer vision, machine learning, or related relevant field

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Experience formulating and building proof-of-concept ML systems, SLAM systems, or equivalent experience as demonstrated in academic projects or authored publications

Experience with C++ or Python

Interpersonal skills: cross-group and cross-culture collaboration


Privacy-oriented assessment of data aggregation for machine perception applications

Crafting and implementing practical and reproducible proof-of-concept data valuation and data deletion techniques

Document findings and prepare technical report to communicate research results

Provide algorithmic suggestions to mitigate and improve security/privacy aspects of machine perception applications

Additional Requirements(额外要求)

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading publication venues related to the internship topic

Experience with or familiarity with basic computer vision concepts, simultaneous localization and mapping, visual inertial odometry, machine learning, information theory, differential privacy

Publication track record in one or more of the following conferences or other relevant venues: IEEE S&P, PETS, CCS, Usenix Security, CVPR, ICCV, ECCV, ICML, NeurIPs, etc.

Intent to return to degree-program after the completion of the internship