AI Research Intern: Search & Personalization

Meta; Menlo Park (CA); On-site; USD 85,000 - 141,000; Full time

Job summary

Meta in Menlo Park invites Research Interns to join our Search AI teams within Facebook. You will frame practical, high-impact search problems as rigorous ML tasks and contribute innovative solutions under the guidance of research scientists and software engineers.

Internships span 12–16 or 24 weeks with multiple start dates. Expect exposure to generative retrieval, personalization, and scalable ML systems, plus collaboration across cross-functional teams and opportunities to publish results.

Qualifications

• Currently has or is in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python, C++, C, Java or other related language
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Experience building systems based on machine learning, deep learning methods, information retrieval, or natural language processing
• Familiarity with algorithms behind generative model training and common deep learning architectures (Transformers, GPTs, BERT etc.)

Responsibilities

• Frame practical search problems as rigorous ML problems.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Publish research results and contribute to research that can be applied to Meta product development.

Skills

Generative modeling

Retrieval

Ranking

Personalization

Training methods

Human judgments

Cross-functional collaboration

Research publication

Education

Ph.D. in CS / ML / NLP

Tools

Python

C++

Java

PyTorch

TensorFlow

Job description

Meta in Menlo Park invites Research Interns to join our Search AI teams within Facebook. You will frame practical, high-impact search problems as rigorous ML tasks and contribute innovative solutions under the guidance of research scientists and software engineers.

Internships span 12–16 or 24 weeks with multiple start dates. Expect exposure to generative retrieval, personalization, and scalable ML systems, plus collaboration across cross-functional teams and opportunities to publish results.