Senior ML Systems Engineer — Large-Scale Production

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

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

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

You will identify and solve the hardest ML systems challenges, define architectural standards, and leverage AI-native approaches to

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 12+ years of experience designing and deploying large-scale ML systems.
• Experience architecting end-to-end ML platforms for data pipelines, distributed training, evaluation, and low-latency inference.

Responsibilities

• Define and own the architecture of ML systems including training pipelines, inference infra, and feature platforms.
• Solve complex ML system failures across product areas and improve model quality, training efficiency, and serving latency.
• Lead cross-functional ML strategy across research, infra, and product teams with multi-year roadmaps.

Education

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

Tools

TensorFlow

PyTorch

Job description

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

You will identify and solve the hardest ML systems challenges, define architectural standards, and leverage AI-native approaches to