AI Engineer

About the role

MINIMUM 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 artificial intelligence (AI) and

machine learning (ML) models or agentic solutions models for use cases (e.g.,

tabular data, images, video, speech, and unstructured text) with TensorFlow,

Keras, JAX, Spark ML, or Scikit Learn.

• Experience conducting data and machine learning (ML) technical training in a

client-facing technical consulting role.

• Experience architecting cloud solutions on Google Cloud Platform or other

public cloud models.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, Mathematics, or other

quantitative field, or equivalent practical experience.

• Experience in machine learning (ML).
• Experience working in a technology area.
• Experience taking on new material and delivering it to clients and students.
• Knowledge of data warehousing concepts, including data warehouse technical

architectures, infrastructure components, ETL/ELT, and reporting/analytic

tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).

ABOUT THE JOB:

The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on

delivering and evolving a sophisticated Machine Learning and Generative AI

curriculum for global participants. Operating in an immersive environment, you

will work directly with customers to apply innovative AI solutions to

high-impact business challenges and specific industry use cases. You will lead

the daily educational journey for participants while continuously improving the

program by integrating internal Google expertise and recommending the best

open-source frameworks and models. Beyond these core duties, you will actively

participate in the broader Google ML community through research collaboration,

engineering projects, and initiatives that shape the future of AI.Google Cloud

accelerates every organization’s ability to digitally transform its business and

industry. We deliver enterprise-grade solutions that leverage Google’s

cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as

their trusted partner to enable growth and solve their most critical business

problems.Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Drive the Advanced Solutions Lab by delivering content, identifying machine

learning (ML) experts across Google to support specific sessions, and

providing ongoing curriculum enhancements.

• Lead and support customers' machine learning projects from framing to

implementation in the Advanced Solutions Lab.

• Design artificial intelligence (AI)/machine learning (ML) curriculum by

analyzing market trends and customer needs, developing materials in

collaboration with cross-functional Google experts.

• Stay abreast of machine learning developments and network across the Google

Cloud research community to provide Advanced Solutions Lab participants with

up-to-date knowledge and opportunities for engagements with other machine

learning experts.

• Serve as a machine learning subject matter expert for Google Cloud

Consulting, supporting activities like client-facing services, intellectual

property (IP) development, public speaking, and running machine learning

bootcamps.