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Research Intern, Machine Perception & Learning (PhD)

Company: Facebook
Location: Remote
Posted on: May 3, 2021

Job Description:

You can submit up to three job applications every 90 days. Be sure to apply for roles that strongly match your skills and work experience.

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 reconstruction, object detection and tracking, human pose estimation and tracking, large-scale online inference and optimization, state estimation, novel scene, object and material representations and their estimation. Our internships are twelve (12) to twenty four (24) 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, statistical analysis of data, or mathematical modeling

Experience with C++ or Python

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 object pose estimation, joint object-based reconstruction and tracking with and without hand 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)

Fluent with a deep learning framework, preferably Pytorch

Intent to return to degree-program after the completion of the internship

Locations

About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to accommodations-ext@fb.com.

(Colorado only*) Minimum salary of $8,100/year + bonus + equity + benefits

  • Note: Disclosure as required by sb19-085(8-5-20)

Keywords: Facebook, Eugene , Research Intern, Machine Perception & Learning (PhD), Other , Remote, Oregon

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