Snap might have catapulted to fame off the novelty of disappearing messages, but nearly a decade since its founding, the company has shown it’s here for the long term. From its California headquarters, home to nearly 1,500 of the company’s 5,500 employees, Snap continues to net a global audience of more than 406 million daily active users across the world. Behind the platform sits a team of tech and product talent that’s redefining creative exchange and communications in the social media age.
Snap Inc.
Teams at Snap Inc.
Product + Tech
Machine Learning in Santa Monica
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. Sales Team
When Snap’s sales team members come together to craft innovative solutions for advertisers, they work as one team dedicated to driving success not just for sales, but for Snap. They move with the ebb and flow of evolving client demands and industry trends, striking a careful balance between hitting business goals and delivering influential customer experiences. Simply put, Snap’s sales division is defined by change. Team members encounter their fair share of challenges, yet with ongoing support from peers and an out-of-the-box approach, these roadblocks serve as stepping stones toward progress.
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Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
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Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
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Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead product-focused quantitative analyses and machine learning efforts to generate actionable insights, drive product decisions, and optimize features. Collaborate with cross-functional teams to design metrics, build scalable statistical solutions, create dashboards, and communicate findings while using AI tools responsibly.
