AI Engineer, Advanced Solutions Lab — Cloud ML Curriculum Lead

Google; United States; On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud’s Advanced Solutions Lab seeks an AI Engineer to design and deliver a cutting-edge ML and Generative AI curriculum for a global audience. You will lead the participant journey, collaborate with Google experts, and continuously improve content with state-of-the-art frameworks.

You will drive customer ML projects from framing to implementation, engage with the Cloud research community, and contribute to IP development and public speaking opportunities, while aligning with Google’s AI

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• 3 years of experience building production AI/ML models or agentic solutions for use cases with TensorFlow, Keras, JAX, Spark ML, or Scikit Learn.
• Experience conducting data and ML training in a client-facing technical consulting role.
• Experience architecting cloud solutions on Google Cloud Platform or other public clouds.

Responsibilities

• Deliver and evolve a sophisticated ML and Generative AI curriculum for global participants.
• Lead daily educational journey for participants and continually improve the program.
• Collaborate with Google experts to integrate best open-source frameworks and models.
• Support customer ML projects from framing to implementation in ASL.
• Engage with Google Cloud Consulting on IP development and public speaking.

Skills

Java

C/C++

Python

ML/AI concepts

Cloud architectures

Education

Bachelor's degree in Engineering or Computer Science

Master's degree or PhD (preferred)

Tools

TensorFlow

Keras

JAX

Spark ML

Scikit-Learn

Job description

Google Cloud’s Advanced Solutions Lab seeks an AI Engineer to design and deliver a cutting-edge ML and Generative AI curriculum for a global audience. You will lead the participant journey, collaborate with Google experts, and continuously improve content with state-of-the-art frameworks.

You will drive customer ML projects from framing to implementation, engage with the Cloud research community, and contribute to IP development and public speaking opportunities, while aligning with Google’s AI