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Customer Engineer III, AI/ML, Google Cloud

Google

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Customer Engineer to leverage the power of Google Cloud. In this dynamic role, you will collaborate with technical sales teams, providing expertise in Artificial Intelligence and Machine Learning. Your mission will be to help customers understand and utilize Google Cloud's capabilities to enhance their productivity and collaboration. You'll engage with diverse stakeholders, develop tailored cloud solutions, and troubleshoot technical challenges. Join a vibrant team that values respect and inclusion, and be part of a transformative journey in the cloud computing space.

Qualifications

  • 10+ years of experience in cloud native architecture and customer-facing roles.
  • Strong experience in machine learning model development and deployment.

Responsibilities

  • Partner with sales teams as an AI/ML subject matter expert for Google Cloud.
  • Develop creative cloud solutions and troubleshoot technical questions.

Skills

Cloud Native Architecture
Machine Learning Model Development
Deep Learning Frameworks
Technical Stakeholder Engagement
Problem Solving

Education

Bachelor's Degree
Master's Degree in Technical Field

Tools

PyTorch
TensorFlow
Jax
Ray

Job description

corporate_fare Google place Kirkland, WA, USA ; Mountain View, CA, USA ; +2 more

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info_outline X Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with Machine Learning model development and deployment.
  • Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
  • Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
  • Experience in data and information management as it relates to big data trends and issues within businesses.
  • Experience in building machine learning solutions and leveraging machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
  • Experience in architecting and developing software or infrastructure for scalable, distributed systems.
  • Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.

You will be a part of a diverse team of fellow Googlers working in an environment of respect and inclusion where we promote equal opportunities to succeed.

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

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