Apply on Employer Site

Meta · 4 months ago

Research Scientist Intern, Video Recommendations (PhD)

Bellevue, WA

Internship

Onsite

Intern

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

Meta is seeking AI Research interns to join our Video Recommendations team within Facebook. The role involves optimizing video recommendation systems to provide users with engaging and high-quality content while participating in framing practical, high-impact challenges in recommendation into rigorous machine learning problems.

Computer Software

Comp. & Benefits

Responsibilities

Perform research to advance the science and technology of intelligent machines

Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources

Analyze and improve efficiency, scalability, and stability of various deployed systems

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

Qualification

Deep LearningMachine LearningNatural Language ProcessingPythonC++TensorFlowPyTorchCross-functional communicationResearch publicationSoftware development

Required

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 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

Familiarity with machine learning and common deep learning architectures

Preferred

Intent to return to the degree program after the completion of the internship/co-op

Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD

Prior research or project experience in one or more of the following areas: reinforcement learning, pre-training and supervised fine-tuning of large language models, sequence modeling, diffusion models, and their applications in recommendation systems

Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories

Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results