Software Engineer - Central Integrity

Meta•Menlo Park, CA

1d•$183,997 - $257,000

About The Position

Meta is seeking experienced engineers to join its Central Integrity team, which works to keep people safe on Meta’s platforms. The team designs and deploys systems that detect and disrupt harm at global scale, applying AI to areas such as child and youth safety, fraud and scams, identity and authenticity, and emerging threats including autonomous AI agents and automated risk vectors. The engineer will combine strong engineering fundamentals with AI to build adaptable integrity and safety solutions. The role involves building scalable systems and application experiences, addressing complex technical challenges, and delivering real-world impact in a mission-focused environment.

Requirements

At least 8 years of programming experience in a relevant language, or at least 4 years of experience with a PhD.
Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Programming experience in a relevant language.
Demonstrated experience driving organizational change and leading complex technical projects.
Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.

Nice To Haves

At least 6 years of relevant experience building large-scale infrastructure applications or similar experience.
Experience working on adversarial problems where bad actors actively adapt to countermeasures.
Experience improving quality through code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.
Experience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at consumer scale.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience in trust and safety, risk, fraud, security, or regulated-domain engineering.
Experience with programming languages such as C, C++, or Java, and scripting languages such as Python, JavaScript, or Hack.
Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and keeping current with emerging AI technologies.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.

Responsibilities

Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences.
Implement custom user interfaces using current programming techniques and technologies.
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews.
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship, and help onboard new team members.
Architect efficient and scalable systems for complex applications.
Identify and resolve performance and scalability issues, and lead efforts to reduce technical debt.
Work with a variety of coding languages and technologies.
Establish ownership of components, features, or systems with expert end-to-end understanding.