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Meta · 8 hours ago

Research Scientist Intern, Meta Recommendation Systems (PhD)

Menlo Park, CA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on connecting people and communities. They are seeking Research Interns for their Meta Recommendation Systems (MRS) Research, where the interns will conduct original research on AI for recommendation systems and collaborate with a world-class team of AI Research Scientists and Engineers.

Computer Software

Comp. & Benefits

Responsibilities

Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases

Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate

Design, train and support AI/ML libraries and models to implement new features and functionality for use internally at Meta

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Qualification

PythonMachine LearningDeep LearningPytorchAI/ML ModelingRecommendation SystemsCross-functional CommunicationResearch PublicationTeam Collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Experience with Python, with experience in machine learning libraries such as Pytorch

Familiarity with AI/ML modeling and algorithmic techniques (e.g., various components of multimodal LLM, RAG, LSTM, GRU, Transformers, RL and/or its acceleration for large scale use cases)

Experience building systems based on machine learning and/or deep learning methods

Preferred

Intent to return to the degree program after the completion of the internship

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV/ICCV/WACV, ACL, EMNLP, ICASSP, CoLM, or similar venues

Experience working and communicating cross functionally in a team environment

Prior research or project experience in sequence modeling, recommendation systems, or user modeling, RL, etc

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)