Research Scientist Intern, 3D Computer Vision (PhD)

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, and on-device deployment. We are looking for applications interested in (but not limited to) the following areas:

-Geometry-aware vision models
-Domain generalization
-Domain adaptation
-On-device model optimization
-Vision foundation models

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, 3D Computer Vision (PhD) Responsibilities
Develop and prototype advanced technologies in the domain of 3D computer vision and machine learning for AR/VR/MR related applications
Conduct in-depth literature reviews, build knowledge of the latest advancements in the target areas
Analyze the data characteristics, accuracy, efficiency, and generalizability of models to enhance model performance
Document and share research findings, contribute to technical reports, and potentially publish in academic or industry conferences/journals.
Minimum Qualifications
Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
Experience in Python and common ML frameworks (e.g., PyTorch)
Experience in one or more of the following: computer vision, machine learning (e.g. domain generalization, domain adaptation, efficient deep learning), or computer graphics (e.g. appearance, geometry, physically-based modeling)
Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research
Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely
Must obtain work authorization in 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, or first-authored publications at leading journals or conferences such as CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc
Contributions to open-source projects, publications, or relevant projects demonstrating expertise in synthetic image generation
Experience with cloud computing platforms and distributed computing for large-scale experiments
Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experiences working on high volume data with noisy labels
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.
$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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.