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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.
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.
The Sr. Specialist, Business Intelligence Engineer will analyze data to help Snap's leadership make informed, data-driven decisions. Responsibilities include identifying performance trends, building dashboards, collaborating with cross-functional teams, and providing actionable insights to optimize advertiser performance and product development.
As a Data Engineer at Snap Inc, you'll develop scalable data ETL pipelines, manage data warehousing solutions, and ensure data quality. You'll collaborate with stakeholders to deliver high-quality datasets and implement data security practices while maintaining data pipelines and tooling.
As a Senior Data Scientist at Snap Inc, you will leverage your expertise in quantitative analysis and statistical modeling to drive data-informed decisions. You'll collaborate with cross-functional teams to optimize product performance, implement data-driven solutions, and communicate actionable insights effectively.
Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products with exceptional code quality. Strong collaboration, mentorship skills and machine learning expertise are required.
Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong understanding of machine learning algorithms and frameworks like TensorFlow is required.
Snap Inc is looking for a Staff Machine Learning Engineer to create models that drive value for users, advertisers, and the company. The role involves evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality.
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