Software Engineer - Central Integrity

Meta•Menlo Park, CA
•$183,997 - $257,000

About The Position

Meta is seeking an experienced Software Engineer for its Central Integrity team, which works to keep people safe on Meta’s platforms. The team designs and deploys systems to detect and disrupt harm at global scale, including threats involving child and youth safety, fraud and scams, identity and authenticity, and emerging risks such as autonomous AI agents. The role combines strong engineering fundamentals with AI to build adaptable solutions for evolving integrity and safety risks.

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

  • Master’s degree or PhD in Computer Science or a related technical field.
  • Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Understanding of information retrieval concepts, including indexing, querying, and ranking.
  • Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques.
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis.
  • Ability to integrate 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.
  • Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and staying current with emerging AI technologies.
  • Experience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at consumer scale.
  • Experience working on adversarial problems where bad actors actively adapt to countermeasures.
  • Experience in trust and safety, risk, fraud, security, or regulated-domain engineering.

Responsibilities

  • Collaborate with product, design, operations, and infrastructure teams to build application experiences.
  • Implement custom user interfaces using current programming techniques and technologies.
  • Analyze and optimize code for quality, efficiency, and performance, and provide peer feedback during code reviews.
  • Set team direction and goals, lead major initiatives, provide technical guidance and mentorship, and help onboard new team members.
  • Architect efficient, 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.
  • Own components, features, or systems with expert end-to-end understanding.

Benefits

  • Bonus
  • Equity
  • Benefits
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