Join Meta's Generative AI organization as an Applied Research Scientist and play a pivotal role in shaping the future of Meta AI. While large language models (LLMs) have made significant strides, they often struggle to incorporate recent events and may generate inaccurate information. To address this challenge, we're developing innovative retrieval augmented generation (RAG) techniques that enhance and ground LLMs' knowledge.As an Applied Research Scientist on our team, you'll have the opportunity to drive cutting-edge research, develop industry-leading AI models, and deploy them in products that impact billions of users worldwide. By pushing the boundaries of what's possible in generative AI, you'll help us create more accurate, informative, and engaging experiences for our users.We're hiring talented applied researchers like you in multiple locations. If you're passionate about advancing the state of the art in generative AI and making a meaningful impact, we encourage you to apply.

• Perform research to tackle unsolved real-world problems and push state of the art retrieval augmented generation (RAG) techniques.
• Independently design and implement algorithms, train SOTA models on large data, evaluate their performance, and launch to production.
• Drive applied research that can be applied to Meta product development.

• 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 completing a PhD in the field of Artificial Intelligence, a related field. Degree must be completed prior to joining Meta.
• Research experience in one or more of these areas: NLP, speech, machine learning, deep learning, or related fields.
• Experience with development and implementation of LLM algorithm/systems and model training.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Knowledge of deep learning and neural networks.
• Experience working with machine learning libraries like Pytorch.
• Familiar with scripting languages such as Python and shell scripts.
• 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 RAG research, and taking the solutions to production.
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.