Top Software Engineer Jobs in San Francisco Bay Area, CA
The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ (Marketing Experimentation and Optimization Platform). They will work closely with cross-functional teams to build and refine the platform for experimentation and optimization.
As a Data Governance Solution Architect, you will be responsible for implementing and configuring Data Governance platforms in Azure cloud, collaborating with cloud platform and security teams, executing test validations for data security and compliance, establishing data governance policies with data domains, providing training and support on data governance principles, developing technical roadmap for Data Governance Tools, and staying updated on industry trends.
Seeking a Principal Software Engineer to enhance the robustness and scalability of the infrastructure supporting Machine Learning workloads. Responsibilities include optimizing Kubernetes clusters, refining training infrastructure, and collaborating with cross-functional teams. Requires proven experience in designing scalable data platforms and strong proficiency in managing Kubernetes clusters.
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The Senior Data Engineer will collaborate with the Marketing Applied Sciences team to develop data products for analytics solutions, design and develop data products compliant with data privacy policies, drive adoption of cloud-first technologies, automate data processes, and stay updated on emerging trends in Data Engineering.
The Staff Data Engineer will collaborate with stakeholders to deliver analytics solutions using modern cloud technologies. Responsibilities include building data sets, driving adoption of industry-standard practices, and staying updated on emerging trends in Data Engineering.
Design, develop, and maintain AI/ML platform infrastructure. Collaborate with cross-functional teams to enhance capabilities for training complex models efficiently. Responsible for resource utilization monitoring and developing tools for model versioning and reproducibility.
Lead Architect role at General Motors focusing on data architecture strategy, data assets development, ML model implementation, and release management. Responsible for end-to-end health of data ecosystem and continuous innovation in technology. Hands-on leadership and collaboration with cross-functional teams to integrate data assets and ML models into applications.
The Technical Fellow - Cloud API is responsible for providing technical leadership, designing and implementing digital products, defining technical architectures, and leading key projects. This role requires expertise in software engineering, cloud-native technologies, systems, and distributed systems.
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