Software Engineer, Machine Learning - Central Integrity

**Summary:** 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. **Required Skills:** Software Engineer, Machine Learning - Central Integrity Responsibilities: 1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences. 2. Implement custom user interfaces using latest programming techniques and technologies. 3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews. 4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members. 5. Architect efficient and scalable systems that drive complex applications. 6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt. 7. Work on a variety of coding languages and technologies. 8. Establish ownership of components, features, or systems with expert end-to-end understanding. **Minimum Qualifications:** Minimum Qualifications: 9. 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Programming experience in a relevant language 12. Demonstrated experience driving change within an organization and leading complex technical projects 13. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions **Preferred Qualifications:** Preferred Qualifications: 14. Masters degree or PhD in Computer Science or a related technical field 15. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn 16. Understanding of information retrieval concepts, such as indexing, querying, and ranking 17. Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques 18. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis 19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 20. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Experience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at consumer scale 23. Experience working on adversarial problems where bad actors actively adapt to countermeasures 24. Experience in trust and safety, risk, fraud, security, or regulated-domain engineering **Public Compensation:** $183,997/year to $257,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.