Senior Staff ML Platform Architect

Meta; City of Westminster; On-site; GBP 120,000 - 180,000; Full time

Job summary

Meta is seeking a senior staff Machine Learning Engineer to lead the most complex ML systems challenges in training, serving, and evaluation at a global scale. You will set architecture standards and ship state-of-the-art models to production, touching billions of users.

You will influence roadmaps across teams and collaborate with research, product, and data science to align on priorities while driving execution through ambiguity.

Qualifications

• 12+ years of experience designing, building, and operating large-scale ML systems in production environments.
• Experience architecting ML infrastructure components such as distributed training pipelines, model serving systems, feature stores, or ML evaluation frameworks at a significant scale.
• Experience in identifying and resolving systemic performance, reliability, or correctness issues that span multiple ML systems or abstraction layers.
• Experience influencing technical direction across multiple engineering teams through written proposals, design reviews, and cross-functional stakeholder alignment.
• Experience defining engineering standards, architectural patterns, or platform capabilities that have been adopted broadly across an organization.

Responsibilities

• Identify and solve complex ML systems problems, including training efficiency, large-scale inference optimisation, and cross-system reliability.
• Define and own the architecture for critical ML infrastructure components supporting production scale.
• Set engineering standards to prevent reliability, correctness, and performance issues across teams.
• Drive cross-organizational ML platform strategy and influence roadmaps with leadership.
• Lead design and delivery of org-wide ML platform initiatives, coordinating across engineering teams, research, product, and data science.
• Develop metrics/frameworks for evaluating ML system health, model quality, and infrastructure efficiency.
• Mentor engineers on ML system design and debugging at scale.
• Collaborate with privacy, security, and compliance teams to uphold safety and responsible AI practices.
• Identify bottlenecks through tooling and automation to accelerate ML development.
• Contribute to recruiting by engaging with candidates and acting as a technical reference for senior levels.

Skills

ML systems

Distributed training

Model serving

Feature stores

Observability tooling

AI ethics

Experiment management

Platform migrations

Cross-functional collaboration

Talent recruitment

Job description

Meta is seeking a senior staff Machine Learning Engineer to lead the most complex ML systems challenges in training, serving, and evaluation at a global scale. You will set architecture standards and ship state-of-the-art models to production, touching billions of users.

You will influence roadmaps across teams and collaborate with research, product, and data science to align on priorities while driving execution through ambiguity.