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
Oversee multiple complex creative and marketing campaigns from ideation through delivery. Manage timelines, budgets, resources, deliverables, reviews, client communications, risks, and cross-functional collaboration across creative, design, social, strategy, and marketing teams. Deliverables include presentations, marketing materials, social content, video, photography, keynote presentations, and branded films.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Perform monthly and quarterly journal entries, account reconciliations, and financial reporting support. Maintain SOX controls and documentation, support audits and ad hoc analyses, and improve accounting processes while collaborating cross-functionally.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Partners with Engineering, Hardware, Revenue, and G&A groups on compensation decisions, offers, promotions, job evaluations, benchmarking, and total rewards. Analyzes market data using compensation tools, develops leader training and communications, and advises HR, recruiting, finance, and executives. Also leads adoption of AI-enabled compensation workflows and resources. Requires 5+ years of technology-company compensation experience, HRIS and market benchmarking expertise, and strong analytical and presentation skills.
