Systems Engineer, AI-Driven Integrity – Equity + Bonus

Meta; Washington (District of Columbia); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking senior software engineers for the Central Integrity team to build scalable AI systems that detect and disrupt harm at massive scale. You will collaborate across product, design, and operations to deliver impactful integrity safeguards and performance-optimized platforms.

The role emphasizes leading large technical initiatives, mentoring peers, and driving responsible AI practices throughout development and deployment.

Qualifications

• 8+ years of programming experience in a relevant language or 4+ years with a PhD.
• Demonstrated experience driving change within an organization and leading complex technical projects.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest 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 to peers, and help onboard new team members.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with expert end-to-end understanding.

Skills

8+ years of programming

experience leading complex projects

C

C++

Java

Python

JavaScript

Hack

Education

Bachelor's degree in CS/Engineering

PhD (4+ years experience)

Job description

Meta is seeking senior software engineers for the Central Integrity team to build scalable AI systems that detect and disrupt harm at massive scale. You will collaborate across product, design, and operations to deliver impactful integrity safeguards and performance-optimized platforms.

The role emphasizes leading large technical initiatives, mentoring peers, and driving responsible AI practices throughout development and deployment.