Apply on Employer Site

Meta · 1 week ago

Research Scientist Intern PhD, Applied Research

United States

Internship

Remote

Intern

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

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. The Research Scientist Intern will develop novel generative AI algorithms and collaborate with researchers to advance the science and technology of intelligent machines.

Computer Software

Comp. & Benefits

Responsibilities

Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques

Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project

Perform research to advance the science and technology of intelligent machines

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

Disseminate research results

Publish research results and contribute to research that can be applied to Meta product development

Qualification

Machine LearningDeep LearningComputer VisionNatural Language ProcessingPythonDeep Learning FrameworksC++CJavaStatistical AnalysisApplied MathematicsResearch CommunicationTeam Collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, 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

Research experience in machine learning, deep learning, computer vision and/or natural language processing

Experience with Python, C++, C, Java or other related languages

Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar

Experience working and communicating cross functionally in a team environment

Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science

Experience solving analytical problems using quantitative approaches

Experience setting up ML experiments and analyzing their results

Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Experience in utilizing theoretical and empirical research to solve problems

Experience with explainable AI methods and topics around LLM safety alignment