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Meta · 10 hours ago

Research Scientist Intern, 3D Computer Vision (PhD)

Burlingame, CA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on creating immersive experiences in augmented and virtual reality. They are seeking a Research Scientist Intern in 3D Computer Vision to develop and prototype advanced technologies related to AR/VR/MR applications, conduct literature reviews, and analyze model performance.

Computer Software

Comp. & Benefits

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

Qualification

PythonMachine LearningComputer VisionOn-device Model OptimizationCloud ComputingAnalytical SkillsSoftware EngineeringProblem-solving SkillsCommunication Skills

Required

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

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