Senior Software Engineer, AI/ML, Google Cloud Technical Infrastructure

Google Cloud Technical Infrastructure is seeking a Senior Software Engineer specializing in AI/ML to join their team. This role is crucial in developing next-generation technologies that impact billions of users' interactions with Google's services. The position involves working on the architecture that powers Google's vast product portfolio, specifically focusing on AI/ML infrastructure and implementations.

The role combines deep technical expertise in software engineering with specialized knowledge in machine learning infrastructure. You'll be working on critical projects involving model deployment, evaluation, optimization, and data processing. The position offers the opportunity to work with cutting-edge AI/ML technologies while building scalable solutions that power Google's diverse range of products.

As a senior engineer, you'll be responsible for designing and implementing complex ML solutions, collaborating with cross-functional teams, and contributing to the technical direction of projects. The role requires strong programming skills, experience with ML infrastructure, and the ability to solve complex technical challenges at scale.

Google offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The position is available in either Kirkland, WA, or Sunnyvale, CA, offering the opportunity to work from major tech hubs.

The ideal candidate will have a strong background in software development, demonstrated experience with ML infrastructure, and the ability to lead technical initiatives. This role offers the chance to work on challenging problems at scale, collaborate with world-class engineers, and make a significant impact on Google's AI/ML infrastructure.

Working at Google provides exposure to cutting-edge technology, opportunities for professional growth, and the chance to work on products that affect billions of users. The Technical Infrastructure team is known for its innovative approach to solving complex engineering challenges and its crucial role in maintaining Google's technological leadership in the industry.