Ai Research Engineer

Who you are

You have a strong background in AI research, particularly with Large Language Models (LLMs) and Media Models (LMMs) — your expertise allows you to tackle complex challenges at trillion-scale, pushing the boundaries of what's possible in data curation and model development. You are familiar with data curation processes across all stages of LLM/LMM development, including pre-training, mid-training, and post-training, and you understand the intricacies of working with diverse data modalities such as image, video, and media perception.

Your experience includes working with organic data curation and synthetic data generation — you have a keen eye for identifying data quality issues and implementing solutions that enhance the overall data pipeline. You thrive in collaborative environments, where you can partner with researchers and engineers to drive innovation and contribute to frontier models like Llama.

You possess strong analytical skills and are comfortable working with data at scale — your ability to analyze and interpret complex datasets enables you to make informed decisions that impact model performance. You are passionate about redefining paradigms in AI and are eager to contribute to groundbreaking research that shapes the future of technology.

What you'll do

As an AI Research Engineer at Meta, you will play a pivotal role in building the data foundation for our most advanced models — your work will involve collaborating with cross-functional teams to curate and manage data that fuels our LLMs and LMMs. You will contribute to the development of innovative data curation strategies that enhance the quality and diversity of training datasets, ensuring that our models are robust and capable of handling real-world scenarios.

You will engage in hands-on research and experimentation, exploring new methodologies for data generation and curation — your insights will directly influence the design and implementation of our data pipelines. You will also have the opportunity to collaborate with leading researchers in the field, sharing knowledge and best practices that drive the advancement of AI technologies.

Your responsibilities will include analyzing data quality and performance metrics, identifying areas for improvement, and implementing solutions that optimize our data processes. You will be involved in the entire lifecycle of model development, from initial data collection to post-training evaluation, ensuring that our models meet the highest standards of performance and reliability.

What we offer

At Meta, you will be part of a dynamic team that is at the forefront of AI research — we offer a collaborative and inclusive work environment where innovation is encouraged. You will have access to cutting-edge resources and technologies that empower you to push the boundaries of AI research. We believe in investing in our employees' growth and development, providing opportunities for continuous learning and professional advancement.

Join us in our mission to redefine what is possible in AI — your contributions will have a lasting impact on the future of technology and the way we interact with the world around us. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.