Google · 1 day ago
Customer Engineer III, AI/ML, Google Cloud
San Francisco, CA, USA
Full-time
Onsite
Senior Level, Lead/Staff
$147K/yr - $218K/yr
10+ years expGoogle is a leading technology company, and they are seeking a Customer Engineer III specializing in AI/ML for Google Cloud. In this role, you will partner with technical sales teams to provide expertise in AI and ML, helping customers understand and utilize Google Cloud products effectively.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers
Share AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud
Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud
Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud
Qualification
Required
Bachelor's degree or equivalent practical experience
10 years of experience with cloud native architecture in a customer-facing or support role
Experience engaging with, and presenting to, technical stakeholders and executive leaders
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
Preferred
Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks)
Experience in architecting and developing software or infrastructure for scalable, distributed systems
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
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
The Indian Express
2025-10-08
2025-10-04
2025-10-04
Company data provided by crunchbase