Applied AI Research Scientist, Generative AI

Key Skills

Aartificial intelligence, Deep Learning, Design, Effective communication skills, Generative AI, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NeurIPS, Python Programming, PyTorch, Shell Scripting language

Job Description

The Generative AI Org at Meta is seeking strong AI Research Scientists to join our team and work on the next generation of LLM. As a Research Scientist of our team, you will play a critical role in building Meta AI. We have the opportunity to help people everywhere get stuff done better and faster. This year we launched Meta AI in our chat apps and on Ray-Ban Meta Smart Glasses, bringing our assistant to more people. We will continue investing here to improve usability and model quality, while also innovating in select new domains. We will be building an assistant that is social, more capable, more personal, and more ubiquitous. As an Applied Research Scientist in Generative AI, you have the opportunity to help push state of the art research, build industry leading foundation models, and bring them to products to impact billions of users.

Applied AI Research Scientist, Generative AI Responsibilities

• Perform research to tackle unsolved real-world problems and push state of the art LLMs and assistants.
• Independently design and implement algorithms, train state of the large language models (LLM) on large data, and evaluate their performance.
• Drive applied research that can be applied to Meta product development.

Minimum Qualifications

• 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.
• PhD in the field of Artificial Intelligence, or related field.
• 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.
• 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.

Preferred Qualifications

• Direct experience in generative AI and LLM 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.

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.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$117,000/year to $173,000/year + bonus + equity + benefits

 Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.