AI Research Scientist - Language - Meta AI (MRS)

Meta•Menlo Park, CA

10h•$122,000 - $181,000

About The Position

The Meta AI team is working on advances in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are focused on improving recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to advancing recommendation systems to improve user experiences across Facebook, Instagram, Threads, and more.

Requirements

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
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

Nice To Haves

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)
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
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience working and communicating cross-functionally in a team environment
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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