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As a Staff Software Engineer on the Content Relevance Team at Snap Inc, you will drive the technical direction for building large-scale content delivery and recommendation systems. This includes optimizing components like retrieval systems and ML ranking systems. You will also coach team members and collaborate with cross-functional partners.
The Staff Software Engineer will lead the technical direction for Snap's Content Relevance Team, focusing on building large-scale content delivery and recommendation systems. Responsibilities include optimizing key components of the content stack, leveraging expertise in ML/Ranking systems, and coaching team members.
The role involves combining software engineering with machine learning to create scalable workflows for deep learning, developing backend infrastructure for cloud and mobile inference, and building data management systems for collection and evaluation of machine learning data.
The Staff Software Engineer, Machine Learning Infrastructure will develop scalable machine learning workflows, collaborate with product teams to implement machine learning applications, and build data management systems for processing and evaluation. This role emphasizes backend infrastructure for efficient machine learning on mobile and cloud platforms.
As a Staff Software Engineer, Backend at Snap Inc, you will design and implement critical scalable services, collaborate on product requirements, ensure system quality through testing and debugging, and promote best practices in software availability and scalability.
As a Data Engineer, you will design and develop scalable ETL pipelines, implement data warehousing solutions, and ensure data quality and security. You will collaborate with various stakeholders to make high quality datasets accessible and will communicate complex projects effectively to non-technical audiences.
As a Full Stack Engineer at Snap Inc, you will build advanced mobile and desktop web applications, implement user interfaces, optimize performance, and contribute to the company's engineering culture. Strong proficiency in multiple programming languages and frameworks is required.
The Product Design Engineer will design, prototype, and analyze new products from concept to mass production. They will collaborate with cross-functional teams, conduct failure analysis, create design models, and lead technical design reviews while supporting development builds at suppliers.
The Manager of Solutions Engineering at Snap will lead the development of new products and enhancements, collaborating with engineering and cross-functional teams. Responsibilities include designing end-to-end systems, resolving technical challenges, providing strategic guidance to partners, and using product metrics to drive adoption and solutions.
The Machine Learning Engineering Manager will lead a team to develop algorithms for user and content understanding, drive infrastructure for machine learning, and collaborate with ranking teams to enhance ad and content relevance. Responsibilities include overseeing architecture, performing code reviews, and fostering team collaboration.
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