Machine Learning Engineer, Level 4

Machine Learning EngineerOverview In this role you will build and deploy ML models powering Snap's core products, influencing how hundreds of millions of Snapchatters experience the app. You will own the full ML lifecycle, from data analysis to production deployment, and partner with cross-functional teams to ship ML-driven features. You'll use modern techniques to tackle large-scale, real-world problems while upholding high standards for code quality, security, and performance. This is a chance to shape scalable AI-powered experiences in a privacy-forward, fast-moving environment.Compensation / Benefitspaid parental leavecomprehensive medical coverageemotional and mental health support programsequity in RSUscompensation packages tied to long-term performanceResponsibilitiesBuild and deploy ML models powering core products for millions of usersApply modern ML techniques to solve large-scale real-world problemsOwn the full ML lifecycle from data analysis to production deploymentPartner with cross-functional teams to prototype and launch ML-driven featuresDesign and ship scalable services with rigorous code correctness, security, and production-ready qualityKey requirementsBachelor's Degree in Computer Science or equivalent3+ years of post-Bachelor's ML experience; or Master's +2 years; or PhD in a technical fieldExperience developing ML models for ranking, recommendations, search, content understanding, image generation, or related areasstrong collaboration and mentorshipability to work independently and with external partnersproblem solving in ambiguous environmentsTensorFlowCaffe2PyTorch