Research Scientist Intern, Human Understanding (PhD)

Key Skills

C++, Computer Graphics, Computer Vision (CV), Github, Machine learning techniques, NeurIPS, Python Programming

Job Description

Research Scientist Intern, Human Understanding (PhD) Responsibilities

• Solve real problems in enabling Photorealistic Telepresence.
• Develop and execute on an R&D agenda related to computer vision, computer graphics or machine learning.
• Collaboration with and support of other researchers across various disciplines
• Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of Computer Science, Computer Vision, Computer Graphics, Machine Learning, or related field.
• 2+ years experience with building systems based on Computer Graphics, Computer Vision or Machine Learning methods.
• 3+ years experience in C++ and Python.-Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
• Experience working and communicating cross functionally in a team environment
• Intent to return to a degree-program after the completion of the internship.
• Proven track record in tracking and modeling of humans (eyes, face, hands, body, ...) and garments.
• Proven track record in action and gesture recognition.
• Proven track record in 3D reconstruction, non-rigid fusion, and volumetric capture (e.g. NeRF, PIFu, ...)
• Proven track record in Image analysis and synthesis (e.g. GAN, semantic segmentation, lighting estimation...).
• Proven track record in ML based data compression techniques.
• Proven track record in Differentiable Rendering.
• Proven track record in Semi-supervised learning, self-supervised learning, or domain adaptation.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

$7,500/month to $11,333/month + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.