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AI Research Scientist - Language - MRS AI

Job in Seattle, King County, Washington, 98127, USA
Listing for: Meta
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Artificial Intelligence, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 154000 - 217000 USD Yearly USD 154000.00 217000.00 YEAR
Job Description & How to Apply Below

AI Research Scientist - Language - MRS AI

The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more.

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
Minimum Qualifications
  • 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 Qualifications
  • 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. Git Hub)
  • Experience working and communicating cross functionally in a team environment
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal

Employment Opportunity Statement

Meta is proud to be an Equal Employment Opportunity and Aff... (complete EEO statement as provided in the original description)

Compensation

$154,000/year to $217,000/year + bonus + equity + benefits

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