Top Hybrid Data Engineer Jobs in San Francisco, CA
As a Principal Data Engineer, you will design and develop BlackLine's data platform, collaborate with teams to create and optimize data models and visualization solutions, and drive innovation. You will oversee application architecture, provide technical leadership, and ensure that data-driven decisions align with organizational goals.
In this role, you will build cloud-based AI/ML solutions that enhance user experience and workflow efficiency for enterprise services. Collaborate with developers and product managers to deliver high-quality software, owning your code from design to delivery. Your expertise in AI/ML, algorithms, and object-oriented programming will drive innovations for enterprise customers.
The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.
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The Senior or Lead Big Data DevOps Engineer will manage and optimize Big Data infrastructure across cloud environments. Responsibilities include enhancing efficiency, driving cross-team initiatives, managing architecture efforts, ensuring system reliability, and supporting operational tools and practices.
As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
The Staff Data Engineer at GRAIL will manage the data lifecycle from ingestion to analysis, ensuring data integrity and compliance in a regulated biotechnology environment. Responsibilities include developing ETL pipelines, collaborating with scientists and clinical teams, and maintaining data quality and documentation for research and regulatory purposes.
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.
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.
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.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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