Apply on Employer Site

Meta · 3 days ago

AI Research Scientist, MRS AI (PhD)

Menlo Park, CA

Full-time

Onsite

Mid, Senior Level

$122K/yr - $181K/yr

Meta builds technologies that help people connect, find communities, and grow businesses. The AI Research Scientist role conducts cutting-edge research and develops advanced machine learning models to drive innovation in content and user understanding, retrieval, and ranking, directly enhancing Meta’s products.

Computer Software

Comp. & Benefits

Responsibilities

Collaborate, and execute on research that pushes forward the state of the art in large language model research

Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results

Contribute to publications and open-sourcing efforts

Help identify long-term research goals as well as intermediate milestones

Prioritize research that can be applied to Meta's product development

Qualification

Machine LearningDeep LearningPythonLarge Language ModelsData AnalysisCross-functional CommunicationResearch ExperienceProblem Solving

Required

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields

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

Preferred

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience with deep learning frameworks (such as pytorch, tensorflow) and Python

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences

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

Experience working and communicating cross functionally in a team environment

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