Software Engineer - Central Integrity

Meta; Bellevue, Menlo Park (WA, CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Meta is seeking experienced engineers to join the Central Integrity team in Bellevue, WA, to design and deploy systems that detect and disrupt harm at a global scale. You will work on cutting-edge AI to safeguard child safety, fraud prevention, identity, and authenticity as part of one of the industry’s most demanding defense efforts.

You will bring strong engineering fundamentals, experience with TensorFlow, PyTorch or Scikit-learn, and a deep understanding of data structures, NLP, and

Qualifications

• 8+ years of programming experience or 4+ years with a PhD in Computer Science or a relevant technical field
• Programming experience in a relevant language and with ML frameworks
• Demonstrated experience driving change within an organization and leading complex technical projects
• Experience using data and analysis to explain problems and propose solutions
• Masters or PhD in CS or a related field; familiarity with AI tooling

Skills

Programming experience

Leadership of complex projects

Data-driven analysis

AI tooling frameworks

NLP techniques

Ethical AI practices

Agent orchestration / prompt design

Adversarial problem solving

Trust and safety domain knowledge

Education

PhD in CS or related field

Masters in CS or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking experienced engineers to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is where you belong.

• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhDBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Programming experience in a relevant language
• Demonstrated experience driving change within an organization and leading complex technical projects
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Masters degree or PhD in Computer Science or a related technical field
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Understanding of information retrieval concepts, such as 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, 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