Research Engineer - Computer Vision & Machine Learning

Welcome to the Surreal team in Reality Labs Research!

Our team is dedicated to advancing the state-of-the-art in computer vision, machine perception, machine learning, and artificial intelligence.

We are a diverse group of researchers, engineers, and technologists who work together to develop cutting-edge technology that pushes the boundaries of what is possible.One of our flagship projects is the Aria device, which is a wearable device that enables us to collect data about the world around us.

With Aria, we can gather information about the environment, people, and objects, and use this data to develop new algorithms and models for machine perception and advance artificial intelligence research.As a member of our team, you will have the opportunity to work on exciting projects that have the potential to make a real impact on the world.

Whether you are interested in developing new algorithms for object recognition, creating novel approaches to scene understanding, or exploring the intersection of machine learning and robotics, there is something here for everyone.We are looking for talented individuals who are passionate about computer vision, machine perception, machine learning, and artificial intelligence.

If you are excited about the prospect of working on cutting-edge technology and making a difference in the world, then we encourage you to apply to join our team.

Responsibilities:

Research Engineer - Computer Vision & Machine Learning Responsibilities:

Develop creative computer vision and tracking software supporting Meta AR and VR research

Plan and execute cutting-edge research to advance machine perception technology and user context understanding

Develop novel real-time 3D scene understanding techniques

Research and prototype techniques and algorithms for 2D/3D object detection and recognition

Develop robust software for integrating multiple sensors and scene understanding systems

Develop human-in-the-loop data annotation tools and systems

Qualification and experience:

Minimum Qualifications:

Currently has or is in the process of obtaining a PhD degree or postdoctoral assignment in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar

3+ years experience with computer vision – specifically 2D/3D scene understanding

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

2+ Experience with computer vision/machine learning libraries such as OpenCV / Torch

Knowledge in image analysis, machine learning, information theory, and 3D geometry

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred:

Preferred Qualifications:

Strong understanding of computer vision and 3D geometry concepts, with experience in developing and deploying computer vision applications.

Experiences in working with large-scale datasets through semi-supervision and self-supervision

5+ years of experience in the field of 2D/3D scene understanding with CV/ML in production

Professional industry experience in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar

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

Experience with annotation tooling and techniques for labeling and annotating data, including bounding boxes, keypoints, and semantic segmentation.