Research Scientist Intern, Body Capture, Modelling and Reconstruction (PhD)

The Reality Labs (RL) Research Team brings together a world-class team of researchers and engineers to create the future of AR and VR. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, perception science, and true telepresence. The Virtual Humans team in Zurich, CH works on cutting-edge research and development focusing on virtual people and presence. We envision a world where people connect across vast distances so our roles focus on capturing, evaluating and modelling human body shape and motion. We are currently seeking innovative interns with a passion for technology to develop the next generation of virtual humans.Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.Research Topics: Virtual humans. Full body capture and reconstruction, including dynamic deformations of soft tissues and clothing. Human pose estimation, shape inference, motion modelling. Neural representations and deep implicit models. * Deep learning applied to image, depth and 3D data for monocular and multi-view stereo reconstruction of dynamic surfaces.

Research Scientist Intern, Body Capture, Modelling and Reconstruction (PhD) Responsibilities:

• Investigate, design and develop novel algorithms in areas such as body capture, tracking, reconstruction, generative models for deformable objects (soft tissue, clothing).
• Prototype, build and analyse experimental systems.
• Collaborate with other researchers across various disciplines.
• Communicate your research agenda, progress and results.
• Submit your research work for an aim towards peer-reviewed publication.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Graphics, Machine Learning, or related field.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Experience with computer vision, deep learning, 3D geometry and/or linear algebra.
• 2+ years of experience with Python.

Preferred Qualifications:

• Intent to return to a degree-program after the completion of the internship.
• 2+ years of experience with one or more of the following areas: developing models for neural human reconstruction, human body learning, dynamic shape representation, numerical optimization, deep learning.
• Experience working and communicating cross functionally in a team environment.
• Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH etc.
• Interpersonal skills: cross-group and cross-culture collaboration.

About Meta:

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.

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