Google Taiwan

Cloud Engineer, AI/ML, Professional Services, Google Cloud (English, Japanese)

Tokyo, Japan May 19, 2026 Google Custom Ats
  • Serve as a trusted technical advisor to customers and solve machine learning issues.
  • Deliver modern software to Google’s customers, including creating and executing enterprise application transformation and migration strategies.
  • Collaborate with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
  • Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
  • Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 6 years of experience building machine learning solutions and working with technical customers.
  • 6 years of software/application development experience and working with technical customers.
  • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including machine learning, Large Language Models (LLMs), and software design.
  • Experience designing cloud enterprise solutions and supporting customer projects to completion.
  • Ability to communicate in Japanese and English fluently to support local customers in Japan.

Preferred qualifications:

  • Experience working with recommendation engines, data pipelines, or distributed machine learning.
  • Experience with deep learning frameworks (e.g. TensorFlow, PyTorch, XGBoost).
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT) and reporting/analytic tools and environments (e.g. Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
  • Understanding of the auxiliary practical concerns in production machine learning systems.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with product management and product engineering to build and constantly drive excellence in our products.

In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. You will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 6 years of experience building machine learning solutions and working with technical customers.
  • 6 years of software/application development experience and working with technical customers.
  • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including machine learning, Large Language Models (LLMs), and software design.
  • Experience designing cloud enterprise solutions and supporting customer projects to completion.
  • Ability to communicate in Japanese and English fluently to support local customers in Japan.
Apply on company site

How to Get Hired at Google Taiwan

  • Google's hiring process is uniquely rigorous, featuring hiring committee reviews rather than single-manager decisions — your application materials need to be compelling enough to survive multiple layers of evaluation.
  • Tailor your resume for each specific role, mirroring the language and requirements in the job description while quantifying your impact with concrete metrics and scale indicators.
How to apply to Google Taiwan

How well do you match this role?

Check My Resume