Machine Learning Engineer

Overview In this role you will build and deploy ML models that power core Snapchat features, applying established techniques to real-world challenges. You'll contribute to the entire ML lifecycle, from data analysis to production deployment, and work with cross-functional teams to launch ML-driven capabilities.

You will use modern AI tools to design scalable services while upholding code quality and security. This opportunity lets you shape user experiences at a global scale in a privacy-conscious, fast-moving environment. Pay / Benefits paid parental leave comprehensive medical coverage emotional and mental health support programs compensation packages that let you share in Snap's long-term success Responsibilities Build and deploy ML models for core Snapchat products Apply established ML techniques to real-world problems Contribute to the ML lifecycle: data analysis, model training, evaluation, deployment Collaborate with cross-functional partners to implement and launch ML-driven features Design and ship scalable services using high-velocity engineering workflows with quality and security Key requirements Strong understanding of machine learning approaches and algorithms Ability to prioritize tasks and work independently Experience collaborating with internal and external partners Proven ability to solve open, ambiguous problems Strong collaboration and mentorship skills Adaptability to evolving AI systems and tools 2+ years of ML experience or Master's degree in a technical field Experience developing ML models for ranking, recommendations, search, content understanding, image generation collaboration mentorship adaptability machine learning algorithms ML lifecycle model deployment

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