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Machine Learning Solutions Engineer, Google Cloud Learning Services

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

Description For Machine Learning Solutions Engineer, Google Cloud Learning Services

The Advanced Solutions Lab (ASL) for Machine Learning at Google Cloud is seeking a Machine Learning Solutions Engineer to deliver cutting-edge ML and Generative AI training to enterprise customers. This role combines hands-on technical expertise with educational leadership, working directly with customers to solve high-impact business challenges using AI/ML.

The position involves leading immersive training programs where participants work alongside Google's AI/ML experts, learning techniques similar to those used by Google's own engineering teams. You'll be responsible for curriculum development, delivery of technical content, and guiding customers through practical ML projects relevant to their industries.

As a key member of Google's AI community, you'll collaborate with ML experts across the company, contribute to research and engineering initiatives, and help customers implement real-world AI solutions. The role requires deep technical knowledge in machine learning, strong communication skills, and the ability to translate complex concepts for diverse audiences.

The ideal candidate brings 6+ years of ML model building experience, strong programming skills, and cloud platform expertise. They should be passionate about education, comfortable with dynamic environments, and able to communicate fluently in both Japanese and English. This position offers the opportunity to shape how enterprises adopt and implement AI/ML while working at the forefront of machine learning technology.

Last updated 5 days ago

Responsibilities For Machine Learning Solutions Engineer, Google Cloud Learning Services

  • 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

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

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