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Research Intern, Hand Tracking (PhD University Student) Facebook Redmond, Washington

Website Facebook

For young candidates a strong resume is very important. Without a solid resume it can be tougher to be considered for a position. You can build your strong resume by taking this excellent internship at the Facebook, Redmond, Washington.

Brief Details

Job: Research Intern, Hand Tracking (PhD University Student)
Paid/Unpaid: unpaid
Company: Facebook
Location: Redmond, Washington
Application Deadline:

Internship Description

Research Intern, Hand Tracking (Ph.D. University
Student) in Redmond, Washington



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.


Great virtual reality technology depends on advances in
computer vision and machine learning. As an intern at Facebook Reality Labs,
you will get an opportunity to make in impact on one of our most exciting and
challenging efforts aimed at providing immersive human presence and
interaction. You will apply advanced computer vision and machine learning
techniques to solve problems at the forefront of virtual reality. The ideal
candidate is pursuing a PhD in computer vision, machine learning, or statistic
and is passionate about enhancing the user experience in virtual reality.


This internship is sixteen to twenty-four weeks long and we
have various start dates throughout the year.

Required Skills:

  1. Plan
    and execute cutting-edge research to advance AR/VR interaction
    technologies in multi-modal hand tracking, development of prototype units,
    and testing them in AR/VR scenarios.
  2. Collaborate
    with other researchers, engineers, and user experience researchers to
    prototype software solutions, and run experiments to advance the project.
  3. Work
    with leading academic researchers in the field. The work should result in
    publishable research that appears in top-tier journals or at leading
    international conferences.

Minimum Qualifications:

  1. PhD
    candidate in computer vision, machine learning, statistics, or related
    field. MS candidate with relevant skills will be considered.
  2. Excellent
    research skills involving defining problems, exploring solutions, and
    analyzing and presenting results.
  3. Proven
    experience with deep learning.
  4. Proficiency
    in C++, Matlab, or Python, including hands-on experience with deep
  5. Proven
    track record of achieving significant results.
  6. Interpersonal
    skills: cross-group and cross-culture collaboration
  7. Able
    to obtain work authorization in the US in 2019.

Preferred Qualifications:

  1. Experience
    with hand tracking.
  2. Knowledge
    on generative models, uncertainty estimation, and Bayesian deep learning.