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Meta · 1 day ago

Software Engineer - AI SysML (Technical Leadership)

New York, NY

Full-time

Hybrid

Senior Level, Lead/Staff

$219K/yr - $301K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams, focusing on AI Infrastructure. The role involves driving machine learning techniques to enhance Meta’s products and collaborating with leaders to improve team performance.

Computer Software

Comp. & Benefits

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

Qualification

Machine LearningAI InfrastructureC/C++PythonDeep LearningHigh Performance ComputingMentoring EngineersProject PlanningCommunicationCollaboration

Required

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