Top Data Engineer Jobs in San Francisco Bay Area, CA
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating their performance. Responsibilities include data collection design, feature engineering, and building evaluation frameworks.
The Data Scientist will leverage data and technology to aid the marketing team in optimizing their strategies. Responsibilities include data collection and statistical analysis, building revenue optimization models, and defining key performance indicators.
The Applied AI ML Director will lead the development and implementation of machine learning components, collaborate with teams, and enhance workflows using advanced ML techniques. They will leverage knowledge in ML algorithms and frameworks to drive innovative projects.
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The Associate Manager, Data Annotation at Qualtrics will lead a multilingual team to enhance AI data collection processes, oversee annotation guidelines, manage projects with product teams, and continuously evaluate data annotation opportunities and challenges in alignment with machine learning initiatives.
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As the Director of Data Platform & Data Engineering at Navan, you will lead the strategy and execution of data initiatives, manage a team of data professionals, collaborate with various departments, design ETL processes, and oversee data governance and compliance.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
The Senior BI Engineer will design and implement scalable business intelligence platforms, create aggregate datasets, and support analytics frameworks to facilitate data-driven decisions for WBD's streaming and digital products. You will work with a global team to provide business-ready data solutions and ensure effective data usage across various teams.
The Senior Data Engineer at Babylist will focus on enhancing data platforms, particularly in building ML pipelines. Responsibilities include developing robust systems, collaborating across teams, and driving data-driven decision-making to support product innovation.
Lead and contribute to advancing a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, mentor team members, and provide on-call support as needed.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
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