Meta is seeking Researchers and Engineers to join our Generative AI organizations. Candidates will have industry experience working on LLM related topics and the experience to apply relevant AI and machine learning techniques to build intelligent LLM systems that improve Meta's products and experiences. Candidates should have an interest in taking new research findings in this area and implementing them towards product needs.

Software Engineer (Technical Leadership) - AI Specialist Responsibilities:

• Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short and medium term objectives
• Influence progress of relevant research communities by producing publications
• Establish connections with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Lead and collaborate on research projects within a team
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience holding a faculty, industry, or government researcher position
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Proven track record of recent and consistent publication/citation history
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
• Experience in developing and debugging in Python, C/C++, or C#
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Experience bringing machine learning-based products from research to production
• 4+ years of experience as technical lead for a project of 4 or more individuals
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
• Experience with interdisciplinary and/or cross-functional collaboration
• 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research

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 Whats App 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 accommodations-ext@meta.com.

$219,000/year to $301,000/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.