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# Software Engineer - Wearables AI

- **Company:** The Meta Game, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $154,003.0 - $217,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Computer Engineering, Software Debugging, Distributed Systems, Python (Programming Language), Natural Language Processing, Tensorflow, Software Engineering, AI Infrastructure, Data Ingestion, Pytorch, Large Language Models, Deep Learning, Backend, Agentic-AI, Information Technology, Machine Learning Operations, Wearables, Programming Languages, Data Generation
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/F764A898138F469EA3DE5E542D8CFD5A/job/

## About the Role

8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 9. 5+ years of software engineering experience with expertise in building and scaling production systems
 10. Experience with systems design, distributed computing, or backend infrastructure
 11. Proficiency in one or more programming languages such as Python, C++, or Java
 12. Experience working with machine learning systems, LLMs, or AI infrastructure, 13. Knowledge of natural language processing, dialog systems, or agentic AI concepts
 14. Advanced degree (MS or PhD) in Computer Science or a related technical field
 15. Experience with deep learning frameworks (PyTorch, TensorFlow) and ML infrastructure
 16. Experience working on wearable or assistant AI technologies
 17. Experience debugging and optimizing performance across complex distributed systems

## Description

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., 1. Design, develop, and optimize AI infrastructure that supports LLM-powered wearable AI capabilities

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