AI Engineer, Advanced Solutions Lab, Google Cloud

Socket.dev; Chicago (IL); On-site; USD 152,000 - 221,000; Full time

Job summary

Google is seeking an AI Engineer within the Advanced Solutions Lab (ASL) to deliver and evolve a sophisticated ML and Generative AI curriculum for global participants. You will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases, leading the daily educational journey for participants.

You will collaborate with Google experts to continuously improve the program, integrate best practices, and recommend open-source

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

• Drive the Advanced Solutions Lab by delivering content, identifying ML experts across Google to support sessions, and providing curriculum enhancements.
• Lead and support customers' ML projects from framing to implementation in the Advanced Solutions Lab.
• Design AI/ML curriculum by analyzing market trends and customer needs, developing materials with cross-functional Google experts.
• Stay abreast of ML developments and network across the Google Cloud research community for up-to-date knowledge and engagements.
• Serve as a ML subject matter expert for Google Cloud Consulting, supporting client-facing services, IP development, public speaking, and ML bootcamps.

Skills

Programming experience

AI/ML experience

Client-facing consulting experience

Cloud architecture

Education

Bachelor's degree in Engineering/CS or related field

Master's degree or PhD in CS/Math/quantitative field

Tools

TensorFlow

Keras

JAX

Spark ML

Scikit-Learn

Apache Beam

Hadoop

Spark

Hive

Job description

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.

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.