Software Engineer III, AI/ML

Google is seeking a Software Engineer III specialized in AI/ML to join their innovative team. This role combines software engineering excellence with cutting-edge AI/ML expertise. The position offers an opportunity to work on critical projects that impact billions of users worldwide, focusing on areas like machine learning, artificial intelligence, and natural language processing.

The ideal candidate will have a strong foundation in software development with specific expertise in AI/ML technologies. You'll be working with tools like TensorFlow, PyTorch, and various ML frameworks to develop and deploy AI solutions at scale. The role requires proficiency in languages like Python, Java, or C++, along with experience in data analysis and algorithms.

At Google, you'll be part of a team that pushes the boundaries of technology, working on projects that span from information retrieval to distributed computing, from system design to AI applications. The position offers significant growth opportunities, allowing engineers to switch teams and projects as they develop professionally.

The compensation package is competitive, ranging from $136,000 to $200,000 base salary, plus bonus, equity, and comprehensive benefits. Google's commitment to diversity and inclusion creates an environment where innovation thrives, and engineers can make meaningful contributions to technology that impacts users globally.

Key responsibilities include designing and maintaining AI/ML systems, optimizing models for production, conducting thorough testing, and collaborating with team members to ensure code quality. You'll also contribute to documentation, automation, and system scalability while solving complex technical challenges.

This role is perfect for someone who combines technical expertise with a passion for AI/ML innovation. You'll have the opportunity to work with cutting-edge technology while contributing to products that shape how people interact with information worldwide. Google's collaborative environment, resources, and scale make it an ideal place for engineers looking to make a significant impact in the AI/ML field.