Meta AR/VR Job | CV/ML Research Intern (PhD) – Tel Aviv

Job(岗位): CV/ML Research Intern (PhD) – Tel Aviv

Type(岗位类型): Computer Vision

Citys(岗位城市): Tel Aviv, Israel

Date(发布日期): 2023-3-19

Summary(岗位介绍)

The AR/VR team at Meta is helping people around the world come together and connect through world-class Augmented and Virtual Reality hardware and software. We are developing the future of AR and VR, bringing products to consumers that transform entertainment and social experiences. Virtual reality’s potential to connect the world is immense—and we’re just getting started. With global departments dedicated to VR research, computer vision, haptics, social interaction, and more, AR/VR is committed to driving the state of the art forward through relentless innovation

In this role, you will research and develop advanced computer vision and machine learning techniques to solve problems at the forefront of large-scale localization, enabling augmented and virtual reality. There are lots of exciting and challenging unsolved problems in computer vision and machine learning for semantic mapping and AR/VR. It is early days and we’re looking for you to usher in the next era of human-human and human-computer interaction by solving these problems together with us. Open position is based in TLV.

Qualifications(岗位要求)

PhD Student in Computer Science, Computer Vision, Machine Learning, or related technical field.

2+ years of experience engineering in C++ or Python and Pytorch

2+ years of experience developing and designing Computer Vision or Machine Learning algorithms

Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.

Available for a 16-week internship during 2023

Excellent interpersonal skills, cross-group and cross-culture collaboration

High levels of creativity and quick problem solving capabilities

Description(岗位职责)

Research, develop, and implement a certain concept/module/capability in the domain of AR and VR, leveraging various computer vision and modern deep learning techniques

Collaboration with and support of other engineers/researchers across various disciplines

Communication of research project agenda, projects and results

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