Summary:

　　Our Maps Research team explores, develops, and delivers novel and cutting-edge technologies for 3D semantic map making from large-scale and heterogeneous image data sources, serving as the foundation for future AR/VR products. Our team is addressing a variety of technical challenges in the areas of neural 3D modeling, dynamic and semantic scene understanding, object recognition, and related domains. We're looking for candidates who share a passion for exploring and solving complex, challenging problems at the intersection of CV/ML and 3D map making.We are looking for an exceptional PhD student with a proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as an outstanding software engineer who can prototype invented algorithms.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

　　Required Skills:

　　Research Scientist Intern, Generative AI (PhD) Responsibilities:

　　Actively driving and participating in cutting edge research for 3D scene synthesis

　　Developing efficient deep neural network models for 2D/3D/video content generation

　　Contributing research that can be applied to Meta VR/AR product development

　　Together with our team, work towards a top-tier, scientific publication

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Currently has, or is in the process of obtaining a PhD in the field of computer vision, computer graphics, machine learning, or a related field

　　Hands-on knowledge with generative models (GANs, diffusion models) for image, scene, or video generation, etc.

　　Understanding of 3D geometry, statistical analysis of data, and mathematical modeling

　　2+ years experience with PyTorch and Python

　　Interpersonal and communication skills, cross-group and cross-culture collaboration

　　High levels of creativity and quick problem solving capabilities

　　Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

　　Preferred Qualifications:

　　Preferred Qualifications:

　　Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., SIGGRAPH, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML) or journals (e.g., PAMI, IJCV, JMLR, ToG)

　　Experience with generative models (e.g. diffusion models, GANs), 3D representations (NeRFs, 3D Gaussian Splatting), and inverse rendering techniques

　　Experience in 3D computer vision, graphics, and deep learning models for this domain

　　Demonstrated software engineer experience via previous internships, work experiences, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

　　Public Compensation:

　　$7,650/month to $11,333/month + benefits

　　Industry: Internet

　　Equal Opportunity:

　　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 [email protected].