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Meta

Software Engineer - Wearables AI

Meta

Location
Hybrid (Burlingame, California)
Compensation
$154k - $217k/yr
Employment
Full-time
Level
Senior Level
Posted 1 week ago

About the Role

Meta's Wearables AI team is building the next generation of intelligent, on-device AI experiences for wearable products. This role focuses on designing and optimizing AI infrastructure to support LLM-powered capabilities and agentic AI applications.

Skills

Software Engineering AI Infrastructure LLM Systems Python C++ Java Machine Learning Distributed Computing Systems Design Natural Language Processing Dialog Systems Agentic AI PyTorch TensorFlow Data Pipelines

Benefits

  • Medical
  • Dental
  • Vision

Perks

  • Bonus
  • Equity
  • Hybrid Work

Full job details

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


Minimum 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


Preferred Qualifications

  • 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


$154,003/year to $217,000/year + bonus + equity + benefits