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Machine Learning Infrastructure Specialist
3 weeks ago
We are seeking a skilled Machine Learning Infrastructure Specialist to join our team at Google. As a key member of our GPU team, you will play a critical role in evaluating and optimizing forthcoming hardware technologies for machine learning workloads.
About the RoleYou will work closely with internal teams to position and advocate for cloud and customer use-cases, contributing to creating the right infrastructure to access our ML systems. This involves achieving state-of-the-art performance of key models on GPU compared to industry or internal TPUs, through classic performance work or building automation infrastructure.
At Google Cloud, we accelerate every organization's ability to digitally transform its business and industry, leveraging cutting-edge technology and tools to help developers build sustainably. Our customers in over 200 countries and territories rely on us as their trusted partner to enable growth and solve complex business problems.
Key Responsibilities- Provide engineering leadership and strategic product vision for emerging cloud use-cases and internal use cases.
- Lead efforts to optimize machine learning models for speed, memory efficiency, and accuracy through experimentation with different architectures, hyperparameters, and optimization techniques.
- Translate customer requirements into technical solutions by working closely with them to understand their needs, presenting technical findings and recommendations.
- Guide junior engineers by leading by example, sharing expertise, and providing guidance on best practices.
As a Machine Learning Infrastructure Specialist at Google, you will have the opportunity to work with a talented team of engineers and researchers to develop innovative solutions for machine learning workloads. You will also have the chance to collaborate with cross-functional teams to drive the development of new products and services.
