Software Engineer - ML Systems (Technical Leadership)

Meta is seeking an AI Software Engineer to join our Research & Development teams.
The ideal candidate will have industry experience working on AI Infrastructure related topics.
The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web.
We are hiring in multiple locations.
Software Engineer - ML Systems (Technical Leadership) 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, AI system design, and ML excellence 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 Minimum Qualifications: Vast experience communicating and working across functions to drive solutions Experience in driving large cross-functional/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 senior 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 Preferred Qualifications: Experience with distributed systems or on-device algorithm development 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.
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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.
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com.