AI Engineer, Advanced Solutions Lab - ML Curriculum Lead

Google; Austin (TX); On-site; USD 152,000 - 221,000; Full time

Job summary

Google is seeking an AI Engineer within the Advanced Solutions Lab to deliver and evolve a sophisticated ML and Generative AI curriculum for participants worldwide. You will lead the educational journey with customers, integrating Google expertise and recommending cutting-edge open-source frameworks.

The role involves coordinating across Google ML researchers and consultants, shaping curricula, and driving real-world ML engagements in a fast-paced environment.

Qualifications

• Bachelor's degree in Engineering, CS, or related field; equivalent practical experience.
• 6 years of experience coding in 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 content and curriculum for the Advanced Solutions Lab.
• Lead and support customers' ML projects from framing to implementation.
• Design AI/ML curriculum by analyzing market trends and customer needs with cross-functional experts.
• Stay abreast of ML developments and collaborate with Google Cloud researchers.
• Serve as ML SME for Google Cloud Consulting, supporting client services, IP development, and bootcamps.

Skills

Programming experience

ML model development

Client-facing consulting

Cloud architecture

Education

Bachelor's degree in Engineering/CS

Master's or PhD in CS/Math

Tools

TensorFlow

Keras

JAX

Spark ML

Scikit Learn

Apache Beam

Hadoop

Spark

Hive

Job description

Google is seeking an AI Engineer within the Advanced Solutions Lab to deliver and evolve a sophisticated ML and Generative AI curriculum for participants worldwide. You will lead the educational journey with customers, integrating Google expertise and recommending cutting-edge open-source frameworks.

The role involves coordinating across Google ML researchers and consultants, shaping curricula, and driving real-world ML engagements in a fast-paced environment.