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As a Principal Machine Learning Engineer at Snap Inc, you will design and implement machine learning components, develop a next-generation training framework, optimize model training with GPUs, and create an AutoML platform. You will advocate for best practices in system scalability and operational excellence, while influencing technical directions across teams.

Lead the technical direction of the Ad Ranking team at Snap, focusing on advancing ML capabilities for ad optimization. Design and scale machine learning models, collaborate with cross-functional teams, and stay current with ML technologies to solve complex advertising-related problems.

As a Principal Machine Learning Engineer at Snap Inc, you will design and scale machine learning components and services, build a training framework for large-scale model training, optimize training performance using GPUs, develop an AutoML platform, and collaborate across teams to deliver innovative solutions, while advocating for best practices in scalability and operational excellence.

As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models, collaborate with cross-functional teams, and advocate for best practices in availability, scalability, and operational excellence for ad optimization strategies.

As a Manager of Product Research at Snap Inc, you'll lead a team focused on identifying user needs and guiding the creation of innovative products by conducting UX research. You'll collaborate closely with various teams, manage senior researchers, analyze findings, and advocate for user-centered design throughout the organization.

As a Product Manager at Snap Inc, you will drive advertiser performance through innovative targeting, manage a long-term roadmap for data-driven products, analyze user privacy, solicit feedback, and represent revenue-related products while collaborating with cross-functional teams.

The role involves developing systems and tools for enhancing Snap's corporate security, executing security strategies for in-house services, and improving security reviews. The engineer will focus on corporate identity, DLP, device hardening, and Zero Trust.