Research Scientist Intern, Machine Learning, Digital Humans (PhD)

The Reality Labs (RL) Research Team in Zurich, CH is looking for research interns to tackle the most ambitious problems in the creation of photorealistic digital humans. In this internship, we aim to build photorealistic human avatars with multi-layered garments. Given a short monocular/ multi-view video of a subject we aim to reconstruct their 3D avatar with separable, multi-layered garments. Our avatar would be fully animatable with editable clothing. We envision a world where people connect across vast distances so our roles focus on capturing and modeling the full human body shape, clothing and motion. As part of our team you will build new ways of performance capture and real-time, photorealistic avatars that are controllable. Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.RESEARCH TOPICSVirtual humans, animatable avatar creation.Surface detail reconstruction, photoreal rendering and novel view synthesis.*Neural representations and deep implicit models.

Research Scientist Intern, Machine Learning, Digital Humans (PhD) Responsibilities:

• Develop novel algorithms in areas of body capture, tracking, reconstruction, generative models for clothed humans.
• Collaboration with and support of other researchers across various disciplines.
• Communication of research agenda, progress and results.
• If successful, write up results for possible publication.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning or related field.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Understanding of computer vision, 3D geometry, neural rendering, human modeling.
• Experience with deep learning frameworks like PyTorch.
• Interpersonal experience: cross-group and cross-culture collaboration.

Preferred Qualifications:

• Intent to return to a degree-program after the completion of the internship.
• Proven track record of achieving significant results as demonstrated by publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, SIGGRAPH, or similar.
• 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.