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About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one major cloud platform (AWS, GCP, or Azure
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. Such mixers will be important for the advancement of astrophysical heterodyne receivers. The main application of these detectors would be in the THz line spectroscopy of the interstellar molecular clouds and
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of experience with database technologies such as MySQL, Postgres (PostGIS), MS SQL. Familiar with high-performance computing platforms either on-premises (LSF, Slurm, etc) or on the cloud (especially AWS). Equal
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Security and/or Cloud Computing. You bring current industry expertise, such as network security frameworks (e.g., CCNA Network Security) or cloud platforms (e.g., AWS), and are passionate about sharing your
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the collective bargaining agreement. The salary range for this position is $133,700 - $313,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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critical role in the successful migration of legacy supply chain data to Oracle Cloud. This position bridges the gap between raw technical data and business utility and is responsible for the end-to-end
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environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting
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for deployment, monitoring, and security Develop and enforce DevOps best practices, standards, and strategies organization-wide Architect and develop robust, high-availability, and high-performance cloud and on
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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data, systems, and community from evolving cyber threats. This role pairs monitoring and incident response with risk reduction across a distributed, cloud-forward environment (Workday, AWS, Salesforce