Software Engineering Manager, Recommendation Systems

Meta

Bellevue, Menlo Park, New York (WA, CA, NY)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Meta is seeking an Software Engineering Manager to lead a team building advanced recommendation systems powering personalized experiences across Meta's apps. You will set the technical strategy for ranking, retrieval and infrastructure, collaborating closely with product, data science and infrastructure teams to deliver high-impact improvements at massive scale.

You will guide cross-functional efforts, grow engineers' skills and drive systems performance, scalability, and reliability while

Qualifications

  • 4+ years of software engineering experience in recommendation or related ML infrastructure.
  • 2+ years in people management, setting goals and delivering team results.
  • Hands-on input on architecture, pipelines, or model serving for ranking systems.
  • Proven cross-functional collaboration with product, data science and infra teams.

Responsibilities

  • Lead and mentor engineering teams to deliver large-scale recommendation systems.
  • Drive technical strategy for ranking, retrieval and infrastructure at scale.
  • Partner with product, data science and infrastructure to ship measurable results.

Skills

Recommendation systems
Team leadership
Cross-functional collaboration
Mentorship
Distributed systems
Experimentation frameworks
Performance optimization

Tools

Model serving infrastructure
Feature pipelines

Job description

Meta is looking for a Software Engineering Manager to lead a team building and advancing recommendation systems that power personalized experiences for billions of people across Meta's family of apps. In this role, you will drive the technical strategy and execution of ranking, retrieval, and recommendation infrastructure, partnering closely with product, data science, and infrastructure teams to deliver high-impact improvements to relevance, engagement, and user satisfaction at massive scale.

  • 4+ years of experience in software engineering working on recommendation systems, ranking, or related machine learning infrastructure
  • 2+ years of experience managing software engineering teams, including setting goals, providing feedback, and driving team execution
  • Experience contributing hands-on to technical decisions in recommendation or ranking systems, including architecture, feature pipelines, or model serving
  • Experience driving cross-functional collaboration with product, data science, and infrastructure partners to deliver measurable outcomes
  • Experience identifying and resolving engineering efficiency issues such as technical debt, oncall burden, or system scalability constraints
  • Familiarity with distributed training, model serving infrastructure, or real-time feature computation in the context of recommendation systems
  • Experience using experimentation frameworks to measure and iterate on recommendation quality and engagement metrics
  • Experience leading teams that have shipped large-scale recommendation or personalization systems from inception to production impact
  • Track record of growing engineers' technical skills and expanding team scope through effective delegation and mentorship
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