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As a Staff Software Engineer for Machine Learning Infrastructure, you will develop scalable machine learning workflows and backend infrastructure for training, evaluation, and inference, while managing data systems and collaborating with product teams to enhance Snapchat's capabilities.
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 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 Data Engineer at Snap Inc, you'll develop and maintain data pipelines, ensuring high-quality datasets are available to stakeholders. You'll communicate technical solutions effectively, support data consumption portals, and drive adoption while managing multiple requests from various domains.
The Director of Data Science will lead the data science team to support revenue growth through advanced analytics and insights into ad performance, audience engagement, and strategic data projects. They will partner with executives, manage multiple teams, and drive operational improvements using data.
The Director of Data Science at Snap Inc will lead the data science team, drive business outcomes through analytic strategies, manage complex datasets, and deliver insights on ad performance and customer engagement across products. This role involves collaborating with senior executives and ensuring high-performance analytics and model development.
The Sr. Specialist, Business Intelligence Engineer will analyze data to support decision making in business challenges, identify performance trends, build dashboards, provide actionable recommendations to account management, and partner with cross-functional teams to refine measurement strategies.
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.
As a Manager of Machine Learning Engineering, you will lead a team to develop models and signals for user and content understanding. You will define system architecture, ensure quality and scalability, and collaborate on improving ranking models for ads and content. Your role involves mentoring team members and enhancing machine learning infrastructure.
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