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Meta · 3 hours ago

AI Research Scientist - Language - MRS AI

Menlo Park, CA

Full-time

Hybrid

Mid, Senior Level

$154K/yr - $217K/yr

Meta is a leading technology company focused on connecting people and building communities through innovative applications. They are seeking an AI Research Scientist specialized in language to contribute to cutting-edge research in large language models and enhance their recommendation systems across various platforms.

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, writing reusable code, running evaluations, and organizing results

Contribute to publications and open-sourcing efforts

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

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

Qualification

Large Language ModelsGenerative AIDeep Learning FrameworksPythonNatural Language ProcessingComputer VisionData AnalysisResearch ExperienceSoftware EngineeringTeam Collaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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

Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics

Direct experience in generative AI and LLM research

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 in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)

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