Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA
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.
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.
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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.
The Senior Manager of Marketing Measurement Science is responsible for optimizing media mix spend on sales and subscriptions, leading a team of practitioners, and creating scalable data products and models. They work closely with stakeholders to drive business acceptance, performance evaluation, and audience activation.
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.
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