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Research Scientist Intern, Computer Vision and Multimodal AI (PhD)
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The Reality Labs org aims to connect people from all over the world through world-class AR/VR hardware and software. The XR Spatial AI team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Meta products. Specifically, our engineering and research topics cover broad scene understanding and multimodal AI areas including geometrical and semantic 3D reconstruction, scene graph generation, visual-language models, spatial reasoning, and so on. Our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the developer and user value and related new experiences.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Computer Vision and Multimodal AI (PhD) Responsibilities
- Participate in cutting-edge Computer Vision & Machine Learning research and development for VR/AR/MR related topics
- Develop technology that will be part of mass-market shipping consumer products
- Document and present research progress and aim to publish findings at high-impact CV/ML conferences
Minimum Qualifications
- Currently in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of computer vision, machine learning, computer graphics, or robotics
- 3+ years experience with Python and/or C++
- 2+ years experience with modern deep learning frameworks like PyTorch
- Knowledge in CV/ML, in one or more of the following domains: 3D computer vision, object detection and tracking, large language models, retrieval augmented generation
- Excellent interpersonal skills, cross-group and cross-culture collaboration
- Ability to communicate complex research in a clear, precise, and actionable manner
- 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 publications in top CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, etc.) or journals (e.g., TPAMI, IJCV, etc.)
- Demonstrated software engineering experience via an internship, work experience, coding competitions, open source contributions, or research
- Intent to return to a degree-program after the completion of the internship/co-op
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.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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