Research Engineer - Conversational AI - Reality Labs

Job Description

About the Role

Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results. The role involves designing methods, tools, and infrastructure to advance large language models, with a focus on generative AI and NLP, to support Meta's immersive experiences and social technology initiatives.

Key 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

Requirements

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

Nice to Have

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

Qualifications

Bachelor's degree or higher in a relevant technical field
Research experience in machine learning, deep learning, and NLP
Programming skills in Python and experience with PyTorch

Benefits & Perks

Competitive compensation ($70.67/hour to $208,000/year + bonus + equity + benefits)
Benefits offered by Meta

Working at Meta

Meta builds technologies that help people connect, find communities, and grow businesses. The company values innovation, immersive experiences, and shaping the future of social technology. Meta is committed to equal employment opportunity, diversity, and providing reasonable accommodations for candidates with disabilities.

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