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.

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Equal opportunity and affirmative action employer.
Global company with English proficiency requirement for all roles unless stated otherwise.
Opportunity for collaboration and communication globally.
Opportunity for growth, innovation, and career advancement.