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Employer Sponsored Job (Free to apply to)
Facebook Job Title
Research Intern, Hand Tracking (PhD University Student)


Job Description

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:

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.
Collaborate with other researchers, engineers, and user experience researchers to prototype software solutions, and run experiments to advance the project.
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:

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

Preferred Qualifications:

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

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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