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The Facebook Reality Labs (FRL) Research Team brings together world-class researchers, developers, and engineers to create the future of AR and VR. These technologies have the potential for enormous global impact, and our interns work directly towards making this potential a reality. The Surreal Vision team is looking for research interns to tackle the most ambitious problems in machine perception.
In this internship, you will work on research problems at the forefront of industry and academia and beyond. You will be working with a team building a new generation of end-to-end real-time dynamic 3D scene understanding and photorealistic reconstruction systems. The range of topics in machine learning, computer vision and graphics span novel approaches to 3D object detection and tracking, 3D human pose estimation, tracking, and forecasting, detailed scene geometry, lighting, material estimation, and photo-realistic scene synthesis, and contextualized AI.
Our internships are twelve (12) to sixteen (16) weeks long and you have the option to start at various dates throughout the year.
Research Intern, Machine Perception & Learning (PhD) Responsibilities
- Fundamental research and development of ideas that extend the state of the art
- Analysis and improvement of efficiency, accuracy, scalability and stability of currently deployed systems
- Design and implementation of algorithms
- Development and analysis of prototype 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 fields
- Experience in one or more of the following: machine learning, perception, information theory, 3D geometry, 3D reconstruction, graphics, tracking, Bayesian inference, optimization, system building, physics-based simulation
- Experience with C++ or Python
- Experience with deep learning frameworks such as PyTorch, Tensorflow, etc.
- Interpersonal experience: cross-group and cross-culture collaboration
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
- Experience in research targeting the foundations of computer vision, machine learning and computer graphics
- Experience in cutting-edge research in photorealistic reconstruction of scenes, objects and materials, neural light field reconstruction, inverse graphics and related rendering approaches
- Experience in current research on object shape embedding, detection and tracking in 2D and 3D
- Experience in state-of-the-art research on high fidelity human and object pose estimation, joint object-based reconstruction and tracking with human and scene interactions
- Experience in modern machine-learning methods for self-supervised learning, federated learning, video-understanding, GANs, reinforcement learning
- Experience in the latest techniques in computational imaging and computational photography
- Experience in techniques and research in the emerging field of egocentric computer vision
- 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, ICML, ICLR, ICRA, IROS, RSS or SIGGRAPH/SIGGRAPH Asia
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Intent to return to degree-program after the completion of the internship
