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Meta is hiring a Research Scientist Intern, Assistant Multimodal (PhD)

Meta Reality Labs is seeking Research Interns to join our Assistant AI teams in Redmond, WA, and Burlingham, CA. Our team is working to advance the state of the art in multimodal learning and media understanding, and deploy these systems at scale for various applications in the production system.

Our research spans multiple areas across multimodal machine learning, including deep learning/neural networks, video/image and text joint learning, multimodal fusion, multimodal conversational AI, and cross-domain transfer learning. Many of our projects are published in the top-tier conferences such as CVPR, ACL, EMNLP, ICLR, etc.

As a Research Intern, you will help us develop and apply cutting-edge machine learning algorithms to a wide range of media understanding challenges at Meta. The duration of this internship is typically 14 - 16 weeks with Summer, Fall, and Winter start dates. Internships will be awarded on a rolling basis and candidates are encouraged to apply early.Research Scientist Intern, Assistant Multimodal (PhD) Responsibilities

  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate multimodal algorithms and systems, leveraging deep learning and machine learning on big data resources.
  • Contribute research that can be applied to Meta product development.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.

Minimum Qualifications

  • Currently has, or is in the process of obtaining a PhD degree in Machine Learning, Computer Vision, Natural Language Processing, or a related field.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • 3+ years of experience in PyTorch or C/C++.
  • Research and/or work experience in Machine Learning, Deep Learning, Computer Vision, and/or Natural Language Processing.
  • Interpersonal experience: cross-group and cross-culture collaboration

Preferred Qualifications

  • Intent to return to degree-program after the completion of the internship/co-op.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR or similar.
  • Ability to communicate complex research in a clear, precise, and actionable manner.
  • Experienced with the development of enterprise level AI, machine learning and deep learning platforms involving big data management and GPU compute.
  • Experienced with training deep neural networks for key Speech tasks such as speech recognition, speech translation, classification, semantic segmentation, object detection, etc.

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.

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

$7,650/month to $10,250/month + benefits

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Mention when you apply so they know you're a genuine candidate.

Redmond, WA | Burlingame, CA


Compensation: $90,000 - $120,000

Location: Redmond, WA | Burlingame, CA

Apply Now

Mention when you apply so they know you're a genuine candidate.