Research Engineer, Language - Generative AI jobs in United States
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Meta · 1 day ago

Research Engineer, Language - Generative AI

Meta is seeking a Research Engineer to join their Large Language Model (LLM) Research team. The role involves conducting research and engineering to build state-of-the-art LLMs, focusing on generative AI and NLP, while collaborating with a globally distributed team.

Computer Software
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Comp. & Benefits

Responsibilities

Design methods, tools, and infrastructure to push forward the state of the art in large language models
Define research goals informed by practical engineering concerns
Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Work with a large and globally distributed team
Contribute to publications and open-sourcing efforts

Qualification

Generative AINatural Language ProcessingMachine LearningPythonPyTorchDeep LearningResearch ExperienceLarge Scale SoftwarePublications

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Research experience in machine learning, deep learning, and/or natural language processing
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
Exposure to architectural patterns of large scale software applications

Preferred

A PhD in AI, computer science, data science, or related technical fields
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Direct experience in generative AI and LLM research

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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