Staff Software Engineer, Generative AI, Applied Innovation Factory

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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile.

We are a team of experienced engineers and technologists working directly with Cloud leadership. Our mission is to foster market-disrupting collaborative innovation between Google and the world's ambitious organizations.

In this role, you will be running an incubation program designed to drive Cloud innovation through joint experimentation. You will partner with other engineering teams and key customers to build technology that pushes the boundaries of what's possible with real-world applications.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms in either (C, C++, Python, Java or Go).
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience designing, training, and evaluating machine learning models.
• Experience using generative AI, to solve real-world issues.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Ability to guide the work of others.
• Ability to take an issue and reduce it to a core experiment to prove or disprove a hypothesis.
• Ability to empathize with customers needs to generate solutions.

Responsibilities:

• Drive the creation and execution of experiments across machine learning domains.
• Assess technical tests and develop practical, testable solutions.
• Partner with Google Cloud Platform (GCP) product and engineering teams, Google Research, and GCP customers to identify and implement real-world applications of cutting-edge generative AI and machine learning technologies.
• Contribute to building a positive team culture that emphasizes teamwork, innovation, and collaboration including playing a key role in shaping and executing the team's tactical goal.
• Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.