Requirements

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.

Nice to Haves

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.

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.

Opportunities to work on projects critical to Google's needs with the chance to switch teams and projects as you and the business grow.
Collaborative innovation with ambitious organizations and experienced engineers.
Focusing on complex technical tests with Cloud's most important customers and delivering practical solutions.
Contributing to technology that pushes boundaries and enabling organizations to digitally transform.