Software Engineer III, AI/ML, Google Cloud Performance
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Experteer Overview In this role, you will design and implement software that powers Google Cloudâs scalable services. You will work within cross-functional teams to ship reliable code and improve ML-enabled features. Youâll tackle issues across hardware, network, and services, contributing to ML infrastructure and model optimization. This position offers growth across projects and teams in a fast-paced, impact-driven environment. Compensation / Benefits * Write product or system development code * Collaborate through design and code reviews to enforce best practices * Contribute to documentation and update content as the product evolves * Triage issues and debug to minimize impact on operations and quality * Implement solutions in ML areas, leverage ML infrastructure, and contribute to optimization and data processing Tasks * Bachelorâs degree or equivalent practical experience * 2 years of experience programming in Python or C++ * 1 year of experience with ML-related areas (speech/audio, reinforcement learning, ML infrastructure, or ML specialization) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits * benefits at Google * opportunity to work on cutting-edge technology
Requirements
Experteer Overview In this role, you will design and implement software that powers Google Cloudâs scalable services. You will work within cross-functional teams to ship reliable code and improve ML-enabled features. Youâll tackle issues across hardware, network, and services, contributing to ML infrastructure and model optimization. This position offers growth across projects and teams in a fast-paced, impact-driven environment. Compensation / Benefits * Write product or system development code * Collaborate through design and code reviews to enforce best practices * Contribute to documentation and update content as the product evolves * Triage issues and debug to minimize impact on operations and quality * Implement solutions in ML areas, leverage ML infrastructure, and contribute to optimization and data processing Tasks * Bachelorâs degree or equivalent practical experience * 2 years of experience programming in Python or C++ * 1 year of experience with ML-related areas aaaaa FULL_TIME reinforcement learning, ML infrastructure, or ML specialization) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits * benefits at Google * opportunity to work on cutting-edge technology
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