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The Principal Software Engineer will lead technical oversight in ad measurement systems and design scalable services. Responsibilities include developing high-throughput systems, collaborating with various engineering teams, and applying best practices for operational excellence and cost management, with a focus on privacy.

Design, implement, and operate critical ML Inference and Feature Store services for Snapchat's recommendation systems. Collaborate with teams to understand product requirements, evaluate trade-offs, and deliver innovative solutions while ensuring high-quality standards.

The Engineering Manager will oversee Snap's backend services for media delivery, focusing on system availability, scalability, and operational excellence. They will collaborate across teams to identify and resolve challenges while mentoring a team of software engineers. The role involves optimizing media delivery costs and performance, and balancing immediate goals with long-term scalability.

The Lead Technical Program Manager will oversee engineering operations within the Monetization (Ad Platform) team, focusing on improving infrastructure performance, ensuring service stability, managing incident responses, and driving efficiency in operations. The role involves collaborating with various teams, leading performance investigations, mentoring junior team members, and advocating for Monetization needs within the organization.

The Principal Software Engineer will design, implement, and scale essential engineering components, collaborate across teams to understand product requirements, and establish best practices to enhance operational efficiency. They will also provide technical direction that influences the company.

As a Solutions Engineer at Snap Inc, you will build and enhance products while collaborating with product engineering and cross-functional teams. You will apply your technical expertise in JavaScript to deliver scalable solutions, design systems, and support integrations with Snap's platform products, ensuring value creation and alignment with business objectives.

Lead a team of machine learning engineers to develop and optimize a personalized video recommendation engine, defining architecture, conducting A/B tests, and improving performance. Mentor team members, collaborate with stakeholders, and ensure high technical standards.