Join Google's Core ML organization as a Software Engineer III, specializing in AI/ML Infrastructure and Performance Engineering. You will be instrumental in shaping the future of machine learning by building and enhancing the next generation of ML infrastructure.

This role offers a unique opportunity to impact billions of users by working on cutting-edge technologies that drive Google's ML excellence. You will contribute to a team that provides essential ML software tools and hardware infrastructure across all Google product areas, pushing the boundaries of what's possible in AI.

Google Cloud is at the forefront of digital transformation, offering enterprise-grade solutions that empower businesses worldwide. As part of this dynamic environment, you'll leverage Google's advanced technology to solve critical business challenges and foster sustainable growth.

Engage in collaborative design and code reviews to uphold best practices in software development, including style guidelines, testing, and efficiency.

Contribute to and refine existing documentation and educational materials, adapting them to product updates and user feedback.

Address and resolve product or system issues through diligent debugging, tracking, and analysis of root causes and their impact on operations.

Implement innovative solutions within specialized ML domains, leveraging ML infrastructure, and enhancing model optimization and data processing pipelines.

Influence the trajectory of ML Infrastructure at Google by advancing generative and discriminative technologies, making a significant and lasting contribution to the field.

A Bachelor's degree or equivalent practical experience is required.

Demonstrate 2 years of software development experience in at least one programming language, or 1 year of experience with an advanced degree.

Possess 1 year of experience in areas such as Speech/Audio technology, Reinforcement Learning, or ML infrastructure.

Have 1 year of experience with ML infrastructure, covering model deployment, evaluation, optimization, data processing, and debugging.