At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.
Snap Inc.
Teams at Snap Inc.
Machine Learning in Santa Monica
Recently posted jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Manage People Team programs and processes supporting employee engagement, talent development, onboarding, and talent management. Coordinate cross-functional stakeholders, project plans, milestones, communications, risks, and deliverables. Provide operational support for Learning & Development, Sales Enablement, Employee Resource Groups, and onboarding programs. Improve processes, prepare leadership updates, maintain HR data, and use AI-driven tools, Google Workspace, and Workday to increase efficiency and simplify employee experiences.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Owns profile and media partner product initiatives across Snapchat’s public content surfaces. Responsibilities include managing partner migrations, building the Profile Manager roadmap, supporting advertising inventory expansion, improving content discovery across Spotlight and Discover, coordinating engineering and cross-functional teams, analyzing A/B tests, and advocating for users, creators, and media partners.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Build, deploy, and maintain machine learning models for Snapchat products. Apply ML techniques to ranking, recommendations, search, content understanding, image generation, and related applications. Contribute across data analysis, model training, evaluation, and production deployment while collaborating with cross-functional teams to launch scalable ML features and services. Use evolving AI tools and engineering practices while maintaining high standards for correctness, security, and production quality.
