Software Engineer, Machine Learning - Integrity
Listed on 2026-10-23
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Software Development
AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer
Meta is seeking talented 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.
- 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
- Masters degree or PhD in Computer Science or a related technical field
- Experience with frameworks like Tensor Flow, 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
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