Research Engineer, GenAI, Llama Speech

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.Research Engineer, GenAI, Llama Speech 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

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

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Direct experience in generative AI and LLM research.

First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

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.

Minimum QualificationsPreferred QualificationsAbout 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 WhatsApp 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.


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