Staff Software Engineer, AI/ML, Google Cloud

Google•Mountain View, CA

13h•$207,000 - $300,000

About The Position

Google software engineers develop technologies used at massive scale to help billions of users connect, explore, and interact with information. Engineers work on projects critical to Google’s needs and may move across teams and projects as the business evolves. The role calls for versatility, leadership, and willingness to take on new problems across the full stack. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, efficiency, reliability, and velocity for Googlers, Google Cloud customers, and Google users worldwide. Its work supports AI model development, computing power for global services, and platforms for developers, including technologies such as TPUs, Vertex AI for Google Cloud, Google Global Networking, data center operations, and systems research. In this role, you will lead work in specialized machine-learning areas, optimize ML infrastructure, and guide model optimization and data-processing strategies. You will provide technical leadership on high-impact projects, coordinate priorities and deliverables, and help a distributed engineering team align on goals and timelines. The stated US compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience in one or more of speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
5 years of experience leading ML design and optimizing end-to-end machine learning, including areas such as model deployment, model evaluation, data processing, debugging, and fine-tuning.
5 years of experience testing and launching software products.
3 years of experience with software design and architecture.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional or cross-business projects.

Responsibilities

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Influence and coach a distributed team of engineers.
Lead the design and implementation of solutions in specialized ML areas.
Optimize ML infrastructure and guide model optimization and data-processing strategies.