About the role#
Meta is seeking a Research Scientist Intern for the Ads Recommendation team. This group manages ad delivery for users across the platform. You will frame high-impact recommendation challenges as machine learning problems and build solutions alongside research scientists and software engineers. You will address the scale and variability of content recommendations in a role that spans 12, 16, or 24 weeks.
What you'll do#
- Perform research to advance the technology of intelligent machines.
- Develop NLP algorithms and systems using deep learning and machine learning on large datasets.
- Analyze and improve the efficiency, scalability, and stability of deployed systems.
- Communicate research plans and progress while collaborating with cross-functional partners.
- Publish research results and contribute to work that applies to Meta products.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, AI, NLP, Speech Recognition, Sentiment Analysis, Computer Vision, or a related field.
- Experience with Python, C++, C, or Java.
- Proficiency with deep learning frameworks like PyTorch or TensorFlow.
- Experience building systems based on machine learning, deep learning, or NLP.
- Familiarity with generative model training and architectures such as Transformers, GPTs, and BERT.
- Must obtain and maintain work authorization in the United States.
- Intent to return to your degree program after the internship.
- A record of research achievements, such as publications at conferences like NeurIPS, ICML, ICLR, ACL, EMNLP, or KDD.
- Experience in reinforcement learning, large language model fine-tuning, sequence modeling, or diffusion models.
- Software development experience through internships, projects, or open-source contributions.
Location & details#
- Location: Menlo Park, California.
- Modality: On-site.
- Compensation: $7,650 to $12,667 per month.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.



