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Software Engineer, Machine Learning - Central Integrity

Meta· Engineering
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Hybrid (CA, USA)$184k - $257kFull-timePosted 4d ago

About the role

Meta seeks a Software Engineer specializing in Machine Learning for the Central Integrity team to build scalable AI-driven systems that detect and disrupt harm at a global scale, improving safety across platforms with a focus on child safety, fraud prevention, identity verification, and frontier threat defenses.

Responsibilities

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) 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.

Qualifications

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

Skills

Required:Collaboration with cross-functional teamsSoftware architectureCode review and mentorship

Benefits

  • Bonus
  • Equity
  • Benefits (as part of total compensation)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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