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Home›Jobs›Google›Customer Engineer, AI/ML, Google Cloud
Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

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Google

Customer Engineer, AI/ML, Google Cloud

Google • Auckland, New Zealand

Posted 23h ago🏛️ On-SiteMid-LevelCustomer engineer📍 Auckland
Apply Now →

Skills & Technologies

Machine learningPyTorchTensorFlowJaxRayCloud computing

Overview

Google is seeking a Customer Engineer specializing in AI/ML to support clients in leveraging Google Cloud products. You'll work with machine learning frameworks and cloud-native architectures to enhance customer productivity. This role requires 6 years of experience in a customer-facing position.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with at least 6 years of experience in cloud-native architecture within a customer-facing or support role. Your expertise includes machine learning model development and deployment, and you are familiar with frameworks for deep learning such as PyTorch, TensorFlow, Jax, and Ray. You have a strong understanding of machine learning APIs and are capable of building machine learning solutions while leveraging various architectures. Your background also includes experience in architecting and developing software or infrastructure for distributed systems, as well as managing data related to big data trends and issues in businesses. You are eager to learn and adapt to new technologies and methodologies in the cloud and IT technology environment.

Desirable

A Master's degree in Computer Science, Engineering, Mathematics, or a related technical field is preferred. Experience with load shedding and traffic management architectures, as well as convolutional networks, will be advantageous. You are a problem solver who enjoys collaborating with sales teams to address key technical issues for customers and can effectively communicate integration strategies and enterprise architectures.

What you'll do

In this role, you will facilitate the adoption of Google Cloud products by educational institutions, government agencies, and businesses, ensuring their work becomes more productive, mobile, and collaborative. You will listen to customer needs and deliver tailored solutions, acting as a public advocate for Google Cloud. Your responsibilities will include demonstrating and prototyping integrations in customer and partner environments, as well as recommending the necessary application infrastructure to implement solutions on Google Cloud. You will also travel to customer sites, conferences, and related events as required, enhancing the visibility and understanding of Google Cloud offerings.

What we offer

At Google, you will be part of a team that is dedicated to spreading the power of cloud computing globally. You will have the opportunity to work with cutting-edge technologies and methodologies, contributing to the success of our clients. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives. Join us in making a significant impact in the cloud computing landscape.

Interested in this role?

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