Software Engineer III, Machine Learning, Google Cloud Compute Infrastructure

Google Cloud is seeking a Software Engineer III specialized in Machine Learning to join their Cloud Compute Infrastructure team. This role is crucial for developing and maintaining Google's technical infrastructure that powers their vast product portfolio. The position involves working with cutting-edge technologies in machine learning, artificial intelligence, and cloud computing.

As a Software Engineer III, you'll be part of the Technical Infrastructure team, responsible for building and maintaining Google's data centers and next-generation platforms. The role requires expertise in machine learning algorithms, tools like TensorFlow, and experience with large-scale systems. You'll work on projects critical to Google's needs, with opportunities to switch teams as the business evolves.

The ideal candidate will bring fresh ideas from various areas, including distributed computing, large-scale system design, artificial intelligence, and natural language processing. You'll be responsible for managing project priorities, designing solutions, and ensuring the highest quality of code through reviews and best practices implementation.

Google Cloud serves customers in more than 200 countries, providing enterprise-grade solutions that leverage Google's cutting-edge technology. The position offers competitive compensation, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone passionate about machine learning and interested in working on technology that impacts billions of users worldwide.

The role combines technical expertise with leadership opportunities, allowing you to influence the direction of critical infrastructure projects while working with some of the industry's best engineers. You'll be part of a team that takes pride in being "engineers' engineers" and consistently pushes the boundaries of what's possible in cloud computing and machine learning.