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Research Scientist Intern, Computer Vision, AI and Machine Perception (PhD)
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Cork, Ireland
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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.
Research Scientist Intern, Computer Vision, AI and Machine Perception (PhD) Responsibilities
- 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
Minimum Qualifications
- 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
Preferred Qualifications
- 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)
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