Analysis Engineer, Laptop Imaginative and prescient (College Grad)

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Job title: Research Engineer, Computer Vision (University Grad)

Company: Facebook

Job description: Facebook AI Research (FAIR) is one of the world’s top industrial research organizations. In the FAIR Computer Vision team we publish groundbreaking papers, eg Mask R-CNN, ImageNet in One Hour, ResNeXt, MoCo, frameworks/libraries that are widely used in the open source community, eg PyTorch3D, Detectron2, PySlowFast. We also collaborate closely with the applied research and production teams on Facebook to bring the latest research findings to production. Our work is used to power the smart camera in portal devices and various Facebook products such as Marketplace. In the FAIR Computer Vision team, we have some of the best research scientists and engineers in the field, and we have projects covering the five pillars of computer vision: recognition, video, 3D, analog learning, and self-supervised learning. We drive impact by: (1) publishing recent research papers, (2) open sources for high-quality code and replicable results for the community, and (3) bringing the latest research into Facebook products to connect billions of users.

Research Engineer, Computer Vision Responsibilities (University Graduate)

High quality code development optimized for PyTorch3D.

Collaborate with scientists and engineers on 3D deep learning research.

Minimum qualifications

Currently has or is in the process of pursuing a Bachelor’s, Master’s, or Doctorate degree in computer science or a related field.

One or more years of experience in deep learning and computer vision.

Coding experience in C, C++, Java, Python or similar language.

A work permit must be obtained in the country of employment at the time of recruitment, and a continuous work permit maintained during employment.

Qualifications preferred

Software engineer expertise and research is demonstrated through internships, hands-on experience, and coding competitions.

Research experience in computer vision, deep learning, computer graphics, and/or 3D.

First-time authored publications at peer-reviewed conferences (eg CVPR, ICCV, ECCV, or similar).

Locations

About Facebook

Facebook’s mission is to give people the power to build community and bring the world closer together. With our suite of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share the things that matter most to them, and helps bring people together. Whether we’re making new products or helping a small business scale it up, the people at Facebook are builders at heart. Our global teams are constantly iterating, problem solving and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our hiring processes to candidates with disabilities, long-term conditions, mental health conditions or those of different temperament, and candidates who have true religious beliefs or need pregnancy-related support. If you need support, please contact us

Expected salary:

Location: Menlo Park, CA

Job date: Sat, 05 Jun 2021 07:05:28 GMT

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