Software Engineer Intern, 3D Computer Vision (PhD)

• Develop and prototype advanced technologies in the domain of 3D computer vision and machine learning.
• Experiment with cutting-edge machine learning models and frameworks to enhance model performance.
• Analyze data characteristics, accuracy, efficiency, and generalizability of developed models.
• Deliver results that have a direct impact on Meta and/or Reality Labs products.
• Document and share findings and contribute to technical reports.

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 or C++
• Experience with ML frameworks such as PyTorch or Tensorflow
• Experience in one or more of the following: 3D computer vision (e.g., Monocular/Stereo Depth Estimation, Multi-View stereo, SLAM) , computer graphics (e.g. appearance, geometry, physically-based modeling), or machine learning (e.g. efficient deep learning, domain adaptation, transfer learning)
• Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• 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, BMVC, NeurIPS, ICML, ICLR, CHI, 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.
• Experience working on high-volume image data processing.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely.