Customer Engineer, Machine Learning, Google Cloud

$142,000 - $214,000/Yr

Google - San Francisco, CA

Full-time - Senior

San Francisco, CA

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About the position

As a member of the Google Cloud team, you will play a pivotal role in inspiring leading companies, schools, and government agencies to work smarter with Google tools such as Google Workspace, Search, and Chrome. Your primary focus will be on advocating for the innovative power of our products to enhance productivity, collaboration, and mobility within organizations. You will meet customers where they are and provide them with the best solutions for innovation, leveraging your passion for Google products to spread their benefits globally. In your role as a Customer Engineer, you will collaborate closely with technical sales teams as a machine learning subject matter expert. Your expertise will help differentiate Google Cloud to our customers, enabling them to understand the power of our offerings. You will explain technical features, assist customers in designing architectures, and troubleshoot any potential roadblocks they may encounter. Additionally, you will have the opportunity to guide customers in leveraging specialized machine learning hardware developed by Google, known as Tensor Processing Units (TPUs). Google Cloud is dedicated to accelerating every organization's ability to digitally transform its business and industry. We provide enterprise-grade solutions that utilize Google's cutting-edge technology and tools, helping developers build more sustainably. With customers in over 200 countries and territories, Google Cloud is a trusted partner for enabling growth and addressing critical business challenges.

Responsibilities

• Assist prospective customers and partners to understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirements and needs.
• Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance, and innovate for our enterprise customers.
• Travel to customer sites and events up to 40% of the time, as needed.
• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture, including experience architecting MLOps solutions for Machine Learning model development and deployment, in a customer-facing or support role.
• Experience with frameworks for deep-learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs and GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Nice-to-haves

• Master's degree in Computer Science, or a related technical field.
• Experience in virtualization or cloud native architectures in a customer-facing or support role.
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLM, deep learning, convolutional networks).
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Benefits

• Competitive salary and bonus structure
• Equity options
• Comprehensive health benefits
• Retirement savings plan
• Generous paid time off
• Professional development opportunities
• Flexible work arrangements