Meta
Research Scientist Intern, Ads Recommendations (PhD)
Menlo Park, CA +1 · Internship · Posted Oct 27, 2026
- Location
- Menlo Park, CA
New York, NY - Education
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or a 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 and develop machine-learning and NLP methods for large-scale ads recommendations, including generating relevant content sequences for users.
What you'll do
- Develop novel NLP algorithms and systems using deep learning and machine learning on big data.
- Analyze and improve the efficiency, scalability, and stability of deployed systems; collaborate with research and cross-functional partners.
- Publish research results and contribute to research applicable to Meta products.
What they ask for
- Currently has or is pursuing a Ph.D. in a listed or relevant technical field.
- Experience with Python, C++, C, Java, or another related language; and with PyTorch or TensorFlow.
- Experience building systems based on machine learning, deep learning, or NLP methods.
- Must obtain and maintain work authorization in the country of employment; intends to return to the degree program after the internship.
Nice to have
- Research or project experience in reinforcement learning, large language model pre-training or supervised fine-tuning, sequence modeling, diffusion models, or recommendation applications.
- Research achievements such as publications at leading AI conferences, grants, fellowships, or patents; software development experience and cross-functional communication experience.
Pay
$7,650/month to $12,667/month (currency not stated; compensation type not stated)
Tools
Python, C++, C, Java, Pytorch, Tensorflow, Transformers, GPTs
AI focus
Research and develop NLP, deep learning, and generative AI methods for ads recommendation, including modeling sequences of recommended content.
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