Engineering Manager, Machine Learning
Meta· Engineering
Menlo Park, CA$219k - $301kFull-timePosted 4d ago
About the role
Engineering Manager to lead machine learning engineering teams building state-of-the-art recommendation systems at scale. Manages ML engineers and technical leaders across data pipelines, model development, training infrastructure, and production deployment to deliver impactful recommendation systems across Meta’s products.
Responsibilities
- Manage multiple teams of ML engineers and technical leaders delivering large-scale recommendation and ranking systems across model development, training, evaluation, and production serving
- Drive the technical strategy and roadmap for MRS initiatives, influencing decisions around SOTA model architectures, recommendation algorithms, and deployment approaches
- Actively engage with technical direction and code quality across teams, staying current with state-of-the-art research in recommendation systems and applying cutting-edge techniques
- Partner with product, data science, and research to define recommendation system problem formulations, prioritize ranking experiments, and translate model improvements into measurable product outcomes
- Recruit, develop, and retain ML engineers and engineering leaders with deep expertise in recommendation systems and ranking models
- Champion adoption of SOTA techniques in recommendation systems, including deep learning approaches, transformer-based models, and multi-objective optimization
- Proactively identify and resolve execution risks across recommendation system projects, including data quality issues, model performance regressions, training instability, and infrastructure bottlenecks
- Establish a team culture that values code quality, rigorous experimentation practices, and continuous learning from recommendation systems research
- Hold leaders accountable for performance, technical depth in ranking and personalization, and cross-functional engagement
- Represent the team’s work and priorities to leadership, communicating recommendation system tradeoffs, SOTA advances, and strategic implications clearly
Qualifications
- 8+ years of experience in software engineering with a focus on machine learning systems, including model development, training pipelines, or ML infrastructure
- 4+ years of experience managing engineering teams, including experience managing other engineering leaders
- Experience driving technical strategy and roadmap decisions for ML systems across the full model lifecycle, from data ingestion through production serving
- 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
Skills
Required:Machine learning systemsTeam management
Benefits
- Bonus
- Equity
- Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.
About Meta
Shop the latest AI glasses and wearable technology from Meta.
Shop the latest AI glasses and wearable technology from Meta. Explore Ray-Ban Meta, Oakley Meta, display glasses, and cutting-edge VR headsets.
AI glassesOakley MetaRay-Ban MetaVR headsetsliquid-ai-recruiting-targetwearable technology
More open roles at Meta
- Research Scientist Intern, 3D-grounded Generalist Model for Robotics (PhD)4d agoRedmond, WA · Artificial Intelligence
- 4d ago
- Research Scientist Intern, Robotics - Meta Reality Labs Research (PhD)4d agoZurich, Switzerland · Artificial Intelligence
- 4d ago
- Product Designer, Instagram4d agoHybrid (New York, NY) · Design