Mobile Vision is seeking Research Intern to join various teams in advancing the field of artificial intelligence and machine learning by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, generative AI, and machine learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Many of our interns publish at top tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
The duration of this internship is typically between 12 to 24 weeks with Summer, Fall, and Winter start dates. We have openings in our Menlo Park, Seattle and Zurich offices. Internships will be awarded on a rolling basis and candidates are encouraged to apply early.
Potential research topics:
Data-efficient learning: semi-supervised learning, self-training, self-supervised learning, federated learning.
Efficient computer vision: Building state-of-the-art efficient computer vision models for classification, object detection, semantic segmentation, depth estimation, etc., through techniques such as novel architecture design, advanced training recipe, neural architecture search, language-supervised learning, transfer learning, etc.
3D computer vision: Scene and object understanding, Depth estimation
Generative AI: Diffusion and GAN based image, video and 3D generation
Other emerging research areas
Research Intern, Mobile Vision (PhD) Responsibilities
Perform research to advance the science and technology of intelligent machines
Perform research that enables learning the semantics of data (images, video, text, and other modalities)
Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related field
2 years of extensive experience solving analytical problems using quantitative approaches
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
2 years of experience in machine learning and optimization
2 years of experience in Python or other related language
Familiarity with deep learning libraries, like PyTorch
Interpersonal experience: cross-group and cross-culture collaboration.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Intent to return to degree-program after the completion of the internship/co-op
Ability to communicate complex research in a clear, precise, and actionable manner
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as, NeurIPS, ICLR, CVPR, ICCV, ECCV, ICML, etc.
Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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.
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 firstname.lastname@example.org