AI Software Engineer, Systems ML - Wearables AI

Meta•Seattle, WA

2d•$154,003 - $217,000

About The Position

Meta is seeking an AI Software Engineer to join our Research & Development teams. Candidates should have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for complex AI infrastructure and systems challenges across Meta's platforms. We are hiring in multiple locations.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Nice To Haves

Technical leadership experience
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with recommendation and ranking models
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with distributed systems or on-device algorithm development
A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science, Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
Directly or influencing partners to deliver impact through thorough data-driven analysis
Drive large efforts across multiple teams
Define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in-depth knowledge of how the ML infra interacts with the other systems around it
Mentor other engineers / research scientists & improve the quality of engineering work in the broader team