Applied AI Research Scientist Lead, Generative AI

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 Lead, 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:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD in the field of Artificial Intelligence, a related field.
• Research experience in one or more of these areas: NLP, speech, machine learning, deep learning, or related fields.
• 3+ years of 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.

About 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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

$177,000/year to $251,000/year + bonus + equity + benefits

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