Software Engineer, Infrastructure - Ads Infra and Ranking

Meta•Bellevue, WA

2d•$183,997 - $257,000

About The Position

Meta's Ads organization builds systems that help businesses reach people likely to care about their offerings. The Ads Infra and Ranking organization owns the technical foundation behind ad ranking, retrieval and serving, and the data, training, and inference infrastructure supporting these systems. The organization works to maximize compute efficiency while ensuring reliability and privacy and using AI to accelerate development. As a Software Engineer, Infrastructure in Ads Infra and Ranking, you will lead complex systems engineering projects that strengthen platforms behind Ads retrieval and ranking, including data and features, training, evaluation and experimentation, and serving. You will design and improve distributed services focused on reliability, performance, privacy, and resource efficiency, partnering with infrastructure and ML teams to enable dependable production systems and faster iteration.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Demonstrated experience driving change within an organization and leading complex technical projects.
8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.

Nice To Haves

6+ years of relevant experience building large-scale infrastructure applications or similar experience.
Experience building distributed services or data platforms behind advertising, business-facing, or analogous large-scale products.
Experience designing reliable service interfaces and diagnosing correctness, performance, or data-quality issues across product integrations.
Experience with programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack.
Experience improving quality through code review, testing, controlled rollout, monitoring, and proactive changes.
Demonstrated ability to integrate AI tools into infrastructure engineering and operational workflows and drive measurable efficiency or quality improvements.
Experience applying responsible AI practices, including risk assessment and quality and accuracy reviews, when developing or using AI-assisted product infrastructure tooling.
Demonstrated ongoing AI skill development, including prompt/context engineering or agent orchestration, and evaluation of emerging technologies for infrastructure engineering use.
Experience integrating AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.

Responsibilities

Design, build, and improve distributed services and platform capabilities supporting Ads data, training, experimentation, real-time serving, or compute capacity.
Use system data and analysis to diagnose reliability, latency, throughput, and resource-efficiency issues and compare technical solutions.
Lead complex systems projects from design through production rollout, coordinating dependencies across infrastructure and ML engineering partners.
Develop maintainable software, interfaces, and operational tooling that improve platform usability and reduce engineering toil.
Improve production quality through testing, code review, observability, safe rollout, and incident response.
Communicate technical trade-offs, balance platform stability with Ads innovation, and mentor engineers to raise the team's engineering standards.