Engineering Manager, Large-Scale ML & Recommendation Systems

Meta; Menlo Park (CA); On-site; USD 300,000 - 420,000; Full time

Job summary

Meta is seeking an Engineering Manager to lead machine learning engineering teams building state-of-the-art recommendation systems at scale. You will manage teams of ML engineers and technical leaders working on Meta Recommendation Systems (MRS) — from data pipelines and model development to training infrastructure and production deployment.

You will shape the technical strategy for recommendation and ranking initiatives, drive SOTA model adoption within your teams, and partner closely with

Qualifications

• 8+ years in software engineering with a focus on ML systems.
• 4+ years managing engineering teams including other leaders.
• Experience driving technical strategy and roadmap decisions for ML systems across the full model lifecycle.
• Experience partnering cross-functionally with product, data science, and research teams to define ML problem scope and deliver measurable outcomes.
• Experience recruiting, developing, and retaining ML engineering talent and building high-performing teams in ambiguous, high-impact areas.
• Track record of building recommendation systems that influenced product metrics at scale.
• Experience with state-of-the-art recommendation system architectures including deep learning, transformer-based models, and neural collaborative filtering.
• Experience with large-scale personalization systems, user modeling, and multi-objective ranking optimization.
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
• Demonstrated ability to adopt emerging techniques from top ML conferences into production systems.
• Experience implementing responsible AI practices (risk assessment, bias mitigation, quality checks).
• Track record of translating SOTA research into production recommendations.

Responsibilities

• Lead ML engineers and technical leaders across data pipelines, model development, training, and deployment.
• Shape the technical strategy for recommendation and ranking initiatives across products.
• Drive adoption of state-of-the-art models within teams and align with product goals.
• Partner with product, data science, and research to deliver meaningful recommendation systems.
• Recruit, develop, and retain ML engineering talent and build high-performing teams in ambiguous, high-impact areas.

Skills

ML leadership

Team management

ML systems

Model development

Training pipelines

Production ML infra

Cross-functional collaboration

Recommendation systems

Deep learning

Transformer models

Neural collaborative filtering

Personalization systems

Responsible AI

Tools

PyTorch

TensorFlow

Job description

Meta is seeking an Engineering Manager to lead machine learning engineering teams building state-of-the-art recommendation systems at scale. You will manage teams of ML engineers and technical leaders working on Meta Recommendation Systems (MRS) — from data pipelines and model development to training infrastructure and production deployment.

You will shape the technical strategy for recommendation and ranking initiatives, drive SOTA model adoption within your teams, and partner closely with