Software Engineer - AI SysML (Technical Leadership)

Meta is seeking an AI Software Engineer to join our Research & Development teams. The role involves applying machine learning techniques to enhance Meta’s products and experiences, while driving the organization's goals and collaborating with leaders to improve team performance.

Responsibilities:

• Drive the organization’s goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta’s products and experiences
• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
• Assist in goal setting related to project impact
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in depth knowledge of how the machine learning system interacts with the other systems around it
• Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization

Requirements:

• Vast experience communicating and working across functions to drive solutions
• Experience in driving large cross-functional and industry-wide engineering efforts
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
• Experience leading projects with industry-wide impact
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Significant experience in mentoring/influencing engineers across organizations
• Specialized experience in one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
• Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python
• Experience with distributed systems or on-device algorithm development
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies