AI Software Engineer, Systems ML - Wearables AI

Meta; Seattle, Northern (WA, KY); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta in Seattle is seeking an AI Software Engineer to advance Wearables AI by advancing AI infrastructure and ML system optimization across Meta’s platforms.

You will work on hardware acceleration, ML compilers, and distributed AI workloads, guiding teams and mentoring engineers while delivering high-impact results.

Qualifications

• Bachelors degree in CS/CE or equivalent practical experience.
• Specialized experience in ML infra, AI infrastructure, or ML systems.
• Experience with hardware accelerators, GPU architecture, or ML compilers.

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques to build and optimize ML systems.
• Set goals and measure project impact, AI system design, and infra efficiency.
• Collaborate across teams to deliver measurable impact through data-driven analysis.
• Mentor engineers/research scientists and improve engineering quality.

Skills

Hardware accelerators

GPU architecture

ML frameworks

C/C++

Python

Technical leadership

Ethical AI

Recommendation models

Distributed systems

On-device algorithms

Education

Bachelor's degree in Computer Science or related field, or equivalent practical experience

Tools

PyTorch

Job description

AI Software Engineer, Systems ML - Wearables AI# AI Software Engineer, Systems ML - Wearables AISeattle, WA Artificial Intelligence+ 1 moreApply nowMeta 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.---## AI Software Engineer, Systems ML - Wearables AI 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## Minimum Qualifications* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* 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## Preferred Qualifications* 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---## About MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.For those who live in or expect to work from California if hired for this position, please click here for additional information.United States of America: $154,003/year to $217,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.## Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.