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Meta AR/VR Job | Applied Research Scientist - Computer Vision (PhD)

Job(岗位): Applied Research Scientist - Computer Vision (PhD)

Type(岗位类型): Artificial Intelligence | Computer Vision, Engineering

Citys(岗位城市): Burlingame, CA

Date(发布日期): Before 2021-12-14

Summary(岗位介绍)

The Authentic Presence Capabilities team within Facebook Reality Labs develops machine perception technologies for human understanding that power AR Sharing experiences across the Facebook family of apps. We work full-stack across applied research and development of algorithms, performance optimizations for target hardware, and production deployments into target devices and apps. We use state of the art methods in computer vision and machine learning to build novel generative (GANs, VAE, etc.), segmentation, object detection, multi-task human tracking models. We are responsible for building the next generation AR experiences for Facebook’s family of apps that will fundamentally change the way we interact with and experience the world.

Qualifications(岗位要求)

Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Science, or related field

Applied research experience in deep learning, multi-task learning, segmentation, object detection, human tracking

3+ years of experience with Python and/or C++ programming languages

Interpersonal experience: cross-group and cross-culture collaboration

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

Description(岗位职责)

Conduct applied research to advance the science and technology in Computer Vision, Graphics, Machine Learning, AR, VR, and Computational Photography

Drive end to end data collection/annotation, model training and model evaluation

Work closely with partner teams to propose and prototype new AR experiences

Additional Requirements(额外要求)

Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in CVPR, NIPS, ECCV, ICCV, ICLR

Experience with Machine Learning Principles such as Deep Learning, Computer Vision, etc. are preferred

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g., GitHub)

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