Senior Software Engineer, Infrastructure, Automated Optimization, ML Models

Google Cloud is seeking a Senior Software Engineer to join their Infrastructure team focusing on Automated Optimization of ML Models. This role is crucial for developing next-generation technologies that impact billions of users worldwide. The position combines expertise in machine learning infrastructure with large-scale system design, requiring strong skills in C++ or Python programming.

The role involves working with cutting-edge ML technologies, particularly in fine-tuning large language models and optimizing their performance. You'll be responsible for developing high-quality datasets for model training, analyzing quality issues, and building robust infrastructure for automation and testing. This position offers the opportunity to work on critical projects while having the flexibility to grow and evolve with the business.

As part of Google Cloud, you'll be contributing to solutions that help organizations across 200+ countries digitally transform their businesses. The team emphasizes versatility, leadership, and innovation across the full technology stack. The position offers competitive compensation including a base salary range of $161,000-$239,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate will bring 5+ years of software development experience, with specific expertise in large-scale infrastructure or distributed systems. While a Bachelor's degree in Computer Science is required, candidates with advanced degrees in ML-related fields are preferred. This role provides an excellent opportunity to impact global-scale ML systems while working with industry-leading technologies and experts.

Working at Google Cloud means joining a team that values diversity, equality, and inclusion, creating a culture of belonging for all employees. The position offers professional growth opportunities, cutting-edge technical challenges, and the chance to shape the future of machine learning infrastructure.