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Research Scientist Intern, Dynamic Radiance Fields (PhD)
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Boston, MA
Our Maps Research team explores, develops, and delivers novel and cutting-edge technologies for photorealistic 3D reconstruction of both static and dynamic environments, serving as the foundation for future AR/VR products. Our team is addressing a variety of technical challenges in the areas of dynamic 3D scene modeling and understanding, 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 dynamic 3D reconstruction.
We are looking for an exceptional PhD student with a proven track record in developing algorithms for solving computer vision and graphics problems (e.g., neural rendering, view synthesis, dynamic reconstruction), 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.
Research Scientist Intern, Dynamic Radiance Fields (PhD) Responsibilities
- Actively drive and participate in cutting edge research for neural 3D modeling
- Develop efficient neural network models for dynamic, photorealistic 3D scenes
- Contribute research that can be applied to Meta VR/AR product development
- Together with our team, working towards a top-tier, scientific publication
Minimum Qualifications
- Hands-on knowledge with Neural 3D representations (Neural radiance fields, implicit, explicit & hybrid representations, SDFs, 3D Gaussian Splats) for object-, room-, or city-block sized scenes, neural rendering, etc.
- 2+ years experience with PyTorch and Python
- 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
- Experience with neural rendering, novel view synthesis, and 3D reconstruction
- Excellent 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
- 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 3D representations (NeRFs, 3D Gaussian Splatting), generative models (e.g. diffusion models, GANs), 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)
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$7,800/month to $11,293/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 and Affirmative Action
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, 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. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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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, 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. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.
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