Software Engineer (Technical Leadership) - AI Specialist

About the Role

Key Responsibilities

• Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope
• 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

Requirements

• 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
• 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research
• 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
• Experience bringing machine learning-based products from research to production

Qualifications

• Bachelor's degree in a relevant technical field or equivalent practical experience
• Ph.D. in a related field (preferred but not explicitly required)