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Machine Learning Solutions Engineer, Google Cloud Learning Services (Japanese, English)

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging Google's cutting-edge technology.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS

Job Description

The Advanced Solutions Lab (ASL) for Machine Learning at Google provides an immersive experience where customers work directly with Google's AI/ML experts to solve high-impact business challenges. As a Machine Learning Solutions Engineer, you'll be responsible for delivering cutting-edge Machine Learning and Generative AI content, working closely with customers to apply AI/ML to their specific business cases. The role involves leading daily experiences for ASL participants, improving curriculum, and engaging with Google ML experts. You'll be part of Google's broader AI and machine learning community, collaborating on research and engineering projects that have real-world impact.

The position requires strong technical expertise in machine learning, with 6 years of experience building ML models across various use cases including tabular data, images, video, speech, and unstructured text. You'll need proficiency in major ML frameworks like TensorFlow, PyTorch, or JAX, along with strong programming skills in languages like Python or Java. Fluency in both Japanese and English is essential for stakeholder interaction.

The role combines technical leadership, teaching, and hands-on implementation. You'll be responsible for curriculum development, project leadership, and staying current with AI/ML developments. This is an opportunity to work at the intersection of advanced technology and practical business applications, helping organizations leverage Google's cutting-edge ML capabilities while being part of a global team pushing the boundaries of AI innovation.

Last updated 2 days ago

Responsibilities For Machine Learning Solutions Engineer, Google Cloud Learning Services (Japanese, English)

  • Own the success of each ML Advanced Solutions Lab experience
  • Lead and support customers' AI/ML projects from project framing to implementation
  • Design AI/ML curriculum by understanding market and customers' needs
  • Stay abreast of developments in AI/ML and network across the Google Cloud ML research community
  • Act as an AI/ML SME within the Google Cloud Consulting team

Requirements For Machine Learning Solutions Engineer, Google Cloud Learning Services (Japanese, English)

Python
Java
  • Bachelor's degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience
  • 6 years of experience building ML models for different use cases
  • 2 years of experience coding in C, C++, Java, or Python
  • Experience working in a cloud environment
  • Ability to communicate in Japanese and English fluently

Benefits For Machine Learning Solutions Engineer, Google Cloud Learning Services (Japanese, English)

Medical Insurance
Parental Leave
  • Medical Insurance
  • Parental Leave