Senior ML Systems Engineer — Scalable AI Infra

Meta; Menlo Park (CA); On-site; USD 347,000 - 403,000; Full time

Job summary

Meta seeks a Software Engineer with deep machine learning expertise to drive advances across AI-powered products and platforms. You will bridge foundational ML research and large-scale production systems, shaping the technical direction of ML infrastructure, modeling, and applied AI at global scale.

You will mentor engineers, define architectural standards, improve training pipelines, inference, and data integrity, and lead cross-functional roadmaps to balance short-term delivery with long-term

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• 12+ years of experience designing, building, and deploying large-scale ML systems in production.

Responsibilities

• Define and own the technical architecture of ML systems, including training pipelines, inference infra, and feature platforms.
• Identify and solve complex ML systems challenges across product areas, spanning model quality to serving latency.
• Develop extensible ML frameworks and engineering practices for consistency across teams.
• Lead cross-functional technical strategy for ML initiatives with multi-year roadmaps.
• Apply AI-native workflows to accelerate model development and evaluation pipelines.
• Define data-driven metrics linking model performance to business outcomes.
• Proactively identify risks in ML systems and partner with compliance on responsible AI.
• Mentor engineers on ML systems design, debugging, and production-grade AI.
• Drive performance improvements across training, data loading, serving, and hardware utilization.
• Influence the ML engineering community via publications, frameworks, and cross-industry engagement.

Skills

ML systems design

Production ML

Architectural leadership

Mentoring

Cross-functional collaboration

Model training pipelines

Inference infrastructure

Data integrity

Performance optimization

AI governance

Education

Bachelor's degree in Computer Science or related field

Job description

Meta seeks a Software Engineer with deep machine learning expertise to drive advances across AI-powered products and platforms. You will bridge foundational ML research and large-scale production systems, shaping the technical direction of ML infrastructure, modeling, and applied AI at global scale.

You will mentor engineers, define architectural standards, improve training pipelines, inference, and data integrity, and lead cross-functional roadmaps to balance short-term delivery with long-term