Software Engineer - Wearables AI

Wearables AI at Meta is pioneering the next generation of intelligent, on-device AI experiences for wearable products. We are a team of experts focused on building AI infrastructure and ensuring AI quality across our wearables ecosystem.

We are seeking a Software Engineer to join our Wearables AI team. This is a hybrid role combining language engineering expertise with systems generalist skills. You will focus on AI infrastructure and AI quality, designing and building robust, scalable LLM systems that power Agentic AI applications. Your work will span data generation and curation, tool design and implementation, infrastructure optimization, and building data and evaluation flywheels to drive rapid product improvements.

Responsibilities

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

Qualifications

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