Research Scientist Intern, Generative AI Digital Characters

2 weeks ago


Redmond, Washington, United States Meta Full time

The Reality Labs (RL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. 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 Sausalito, CA 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 full body capture and reconstruction. We are currently seeking innovative interns with a passion for rendering and innovative 3D representations and capture technologies.Research Topics:* Text, image and video generative models* Geometry reconstruction* Inverse Graphics* Facial Capture and animationOur internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Generative AI Digital Characters (PhD) Responsibilities:

  • Design and implementation of prototypes with the emphasis on quality and speed of execution
  • Proposal and execution of experiments
  • Collaboration with and support of other researchers across various disciplines
  • Communication of research agenda, progress, and results
  • Planning and drafting of possible publication

Minimum Qualifications:

  • Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Graphics, Machine Learning or related fields
  • Experience with Generative AI
  • Experience with geometry reconstruction (e.g. 3D gaussian splatting)
  • 2+ years of experience with Python or PyTorch
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Interpersonal skills: cross-group and cross-culture collaboration

Preferred Qualifications:

  • Intent to return to degree-program after the completion of the internship
  • Experience with unified generative text-to-image and text-to-video models
  • Experience in at least one of the following areas: facial rigging and animation, 3D gaussian splatting, autoregressive meshing, inverse rendering
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision, computer graphics or machine learning related conferences such as CVPR, SIGGRAPH, ECCV, ICCV, NeurIPS, or relevant conference

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.

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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-

$7,650/month to $12,134/month + benefits

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.



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