Software Engineer - Wearables AI

• Design, develop, and optimize AI infrastructure that supports LLM-powered wearable AI capabilities
• Build and maintain end-to-end machine learning pipelines, from data ingestion to model deployment, with a focus on agentic AI and tool use
• Drive AI quality initiatives including evaluation frameworks, data flywheels, and model performance monitoring
• Collaborate with ML researchers, product managers, and UX designers to translate technical solutions into production-ready features
• Develop robust APIs, services, and system architectures that enable reliable, low-latency AI experiences on wearable devices
• Monitor, debug, and iterate on deployed systems, ensuring reliability, performance, and security across the stack
• Contribute to technical documentation, design reviews, and cross-team knowledge sharing

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years of software engineering experience with expertise in building and scaling production systems
• Experience with systems design, distributed computing, or backend infrastructure
• Proficiency in one or more programming languages such as Python, C++, or Java
• Experience working with machine learning systems, LLMs, or AI infrastructure, * Knowledge of natural language processing, dialog systems, or agentic AI concepts
• Advanced degree (MS or PhD) in Computer Science or a related technical field
• Experience with deep learning frameworks (PyTorch, TensorFlow) and ML infrastructure
• Experience working on wearable or assistant AI technologies
• Experience debugging and optimizing performance across complex distributed systems

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.