Top Data & Analytics Jobs
Lead a team of engineers in developing a personalized video recommendation engine. Define the architecture for scalability and performance, conduct A/B testing, and improve the recommendation system through technical reviews and team mentorship.
The Business Intelligence Engineer analyzes data to provide actionable insights that help the business make informed decisions. Responsibilities include collating information from various sources, identifying performance trends, working with dashboards, influencing client decisions, and collaborating with cross-functional teams.
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.
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, you will drive the technical roadmap of Snap's Ad Marketplace and Pacing teams, design and scale machine learning models for optimal ad delivery, and collaborate with cross-functional teams. You will stay updated on the latest in machine learning to solve complex problems, advocate for best practices, and provide technical direction to influence the ML community.
As a Data Engineer on the ML Platform Team at Snap Inc, you'll develop scalable ETL pipelines and manage data warehousing solutions while ensuring data integrity and privacy compliance. You'll collaborate with various stakeholders to make high quality datasets accessible and support data security practices.
The Machine Learning Engineer will be integral to a senior team developing a Brain-Computer Interface (BCI) device. Responsibilities include designing and evaluating deep learning models, applying cutting-edge research, prototyping ideas, and collaborating across disciplines to create innovative products.
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