Meta AR/VR Job | Research Scientist Intern, CV, AI and Machine Perception (PhD)
Job（岗位）: Research Scientist Intern, CV, AI and Machine Perception (PhD)
Type（岗位类型）: Computer Vision | Machine Learning, Research
Citys（岗位城市）: London, United Kingdom
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Vision team is looking for research interns to tackle the most ambitious problems in machine perception.
In this internship, you will not only work on the forefront of research topics present in academia and industry, but beyond you will work with a team invested in building the complete stack from sensor design to state estimation and tracking to 3D reconstruction to novel scene representations.
Our internships are twelve (12) to sixteen (16) weeks long and you have the option to start at various dates throughout the year.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning, Robotics, Physics or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Understanding of statistical analysis of data and mathematical modeling
Understanding of machine learning, artificial intelligence, Bayesian filtering, 3D geometry, optimization, system building, or physics-based simulation
Experience with deep learning frameworks like PyTorch
Experience in C++ or Python
Interpersonal experience: cross-group and cross-culture collaboration
Description（岗位职责）
Research, develop and prototype advanced software technologies in the domain of machine perception, machine learning/deep learning based object and scene understanding (e.g., detection, segmentation, recognition) from 2D and/or 3D data
Solve challenging problems in the domain of SLAM, tracking, 3D reconstruction, localization, calibration automation, large scale optimization, state estimation, etc.
Analyze and improve efficiency, accuracy, scalability and stability of currently deployed systems
Design and execution of algorithms
Prototyping, building and analysis of experimental systems
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Additional Requirements（额外要求）
Intent to return to degree-program after the completion of the internship
Experience in machine perception, geometric computer vision, including tracking, visual-inertial odometry, SLAM, graphics, sensor/display calibration, large-scale structure from motion or relocalization technologies
Experience in working with cameras and advance imaging sensors, IMUs, magnetometers, and other sensors that can be used in this context
Experience working on modern deep-learning methods for self-supervised learning, federated learning, video-understanding, GANs, reinforcement learning, graph neural networks, etc.
Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
Experience with privacy-aware algorithms for 3D reconstruction and machine learning
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICLR, ICRA, IROS, RSS or SIGGRAPH
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
