Software Engineer - Wearables AI

Meta; Burlingame (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta's Wearables AI team seeks a Software Engineer to design and build scalable LLM infrastructure powering on-device AI for wearable products. You will work across data generation, tool design, and backend systems to enable Agentic AI applications.

The role blends language engineering with systems expertise, requiring 5+ years in software development, experience with PyTorch/TensorFlow, and proficiency in Python/C++/Java. Hybrid work in California is offered.

Qualifications

• 5+ years of software engineering experience with production systems.
• Experience with systems design, distributed computing, or backend infrastructure.
• Experience with ML systems, LLMs, or AI infrastructure.
• Advanced degree (MS or PhD) in Computer Science or a related technical field.
• Experience with deep learning frameworks (PyTorch, TensorFlow) and ML infrastructure.

Responsibilities

• Designing and building robust, scalable LLM systems for on-device AI.
• Data generation and data curation for model evaluation and improvement.
• Tool design and implementation to support AI workloads.
• Infrastructure optimization for high-throughput, low-latency systems.
• Build data and evaluation flywheels to accelerate product improvements.

Skills

Python

C++

Java

Education

Bachelor's degree in Computer Science or related field

MS/PhD preferred

Tools

PyTorch

TensorFlow

ML Infrastructure

Job 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.

• 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