Meta
Research Scientist Intern, Smart Glasses in Wearables AI (PhD)
Menlo Park, CA +1 · Internship · Posted Oct 19, 2026
- Location
- Menlo Park, CA
Burlingame, CA - Education
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Multi-modal Systems, Computer Vision, Natural Language Processing, Speech Recognition, Audio Processing, Conversational AI, or another relevant technical field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct research on intelligent machines, develop deep-learning and machine-learning NLP algorithms, and publish work that can be applied to Meta products, including smart glasses.
What you'll do
- Research advances in intelligent machines and develop novel NLP algorithms and systems using deep learning and machine learning on large datasets.
- Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
- Publish research and contribute to work applicable to Meta product development.
What they ask for
- Currently has or is pursuing a Ph.D. in a relevant technical field.
- Experience with Python, C++, C, Java, or a related language, and with deep-learning frameworks such as PyTorch or TensorFlow.
- Experience in at least one ML/AI area, such as NLP, speech and audio, computer vision, multimodal systems, reinforcement learning, or recommendations.
- Must obtain and maintain work authorization in the country of employment; demonstrated software engineering experience.
Nice to have
- Significant research results demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences.
- Experience with enterprise AI/ML/DL or LLM platforms, big data management, and GPU compute.
Pay
$7,650/month to $12,667/month (currency not specified; compensation type not specified)
Tools
Python, C++, C, Java, Pytorch, Tensorflow
AI focus
Develop and research AI algorithms and models, especially NLP, using deep learning and machine learning, with research outcomes intended for publication and potential product deployment.
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