Job DetailsFull-timeEstimated: $95,000 – $130,000 a year5 hours ago
Bachelor’s degree in the field of Science, Technology, Engineering, Math, or equivalent practical experience.
Experience with Machine Learning frameworks such as TensorFlow, Pytorch, and Scikit-learn.
Experience in advocating for customer needs.
1 year of experience in machine learning, recommendation systems, natural language processing, speech recognition, computer vision, or production deployment of machine learning.
Experience developing and/or training models using machine learning technologies (e.g. Tensorflow, Keras, PyTorch).
Experience with exploratory data analysis, model development, and auxiliary practical concerns in production Machine Learning systems.
Experience with specific machine learning architectures (e.g., AlexNet, LSTM, Conformers, BERT, etc.).
Effective leadership and influencing skills in the application of AI or Machine Learning, with capacity to lead the design and implementation of AI-based solutions, web services, and debugging tools.
About the job
The Google Cloud Platform team helps customers transform and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Our Technical Solutions Engineers lead and own our largest and most important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24×7 support to help customers seamlessly make the switch to Google Cloud. When customers cannot resolve issues themselves, your job is to ensure that we have the necessary tools and processes to swiftly resolve the issue.
You’ll troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. Our Technical Solutions team is focused on the customer, and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.
This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Work with customers on their production Machine Learning deployments to resolve issues and achieve production readiness, availability, and scale.
Manage issues of Google Cloud customers through effective diagnosis, resolution, documentation, or implementation of investigation tools.
Develop an in-depth understanding of Google Cloud’s AI/Machine Learning products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer issues.
Understand customer issues, advocate for their needs with internal Product and Engineering teams, to find ways to improve the product, and drive production changes.
Act as subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles to improve Google Cloud, and be part of a team of engineers/consultants that globally ensure 24-hour customer support.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.