Research Scientist, Virtual Humans (PhD University Grad) Facebook
Sausalito, CA

Job Description

Facebook Reality Labs (FRL) is a world leader in the design of virtual and augmented reality systems. We are currently seeking innovative researchers with a passion for technology to develop the next generation of virtual humans. The focus of this role is on full body capture and reconstruction using machine learning techniques. The position requires a combination of education and experience in machine learning, computer vision, and computer graphics.

RESPONSIBILITIES

* Plan and execute cutting-edge research to advance the state-of-the-art in virtual humans and digital double understanding.



Develop new advanced technologies related to the generation of convincing virtual humans.

Formulation of new machine learning models for virtual humans.

Collaborate with other researchers, engineers, and 3D artists to prototype hardware and software solution, experiments and concepts that advance the entire project.

MINIMUM QUALIFICATIONS

* Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Computer Vision or Machine Learning



2+ years' experience in machine learning applied to computer vision problems

2+ years' experience in deep learning applied to human detection, pose estimation, tracking, segmentation, classification

Experience in python, and with mainstream deep learning framework

Must be available to start employment on or after January 1, 2019

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

Interpersonal experience: cross-group and cross-culture collaboration

PREFERRED QUALIFICATIONS

* Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading computer vision workshops or conferences such as (CVPR, ECCV, ICCV)



Experience with various problems like human modeling, detection, tracking, reconstruction, and visual attribute classification

Experience with state-of-the-art deep learning models (deep CNN, VAE, GAN)

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