Software Engineer, Search, AI/ML Training Infrastructure at Google
Interview Preparation Plan
This role focuses on building and maintaining the infrastructure that powers AI and Machine Learning model training for Google's Search products. You will be involved in developing scalable systems that handle large datasets and complex computational tasks required for training sophisticated AI models. This position requires a strong understanding of distributed systems, machine learning pipelines, and software engineering best practices to ensure the reliability and efficiency of Google's AI/ML training infrastructure. You will collaborate with machine learning researchers and engineers to understand their infrastructure needs and translate them into robust software solutions. This involves optimizing existing systems, developing new tools, and ensuring the smooth operation of large-scale training jobs. The goal is to enable faster iteration and development of AI models that improve Google Search and related services.
Key Responsibilities
- Design, develop, and maintain scalable AI/ML training infrastructure and pipelines.
- Optimize distributed systems for large-scale data processing and model training.
- Collaborate with ML researchers and engineers to understand and fulfill their infrastructure requirements.
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