Software Engineer, Leadership

Software Engineer, Leadership at Meta

Meta is actively seeking an AI Research Specialist to join its dynamic teams. The ideal candidate will have industry experience working on AI-related topics, applying these skills to solve some of the most crucial and exciting problems that exist on the web. As a Software Engineer, Leadership, you will be instrumental in driving the organization's goals toward advanced machine learning techniques, optimizing intelligent systems, and enhancing Meta’s products and user experiences.

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 capabilities.
• 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

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 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.
• 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.

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.

Key skills/competency

• Machine Learning Techniques
• AI System Design
• Deep Learning Architectures
• Cross-functional Leadership
• Roadmap Planning
• High-Performance Computing
• C++/Python Development
• Distributed Systems
• On-device Optimization
• Engineering Efficiency