Minimum qualifications:
Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
4 years of experience as a software developer.
Experience in building Machine Learning (ML) solutions.
Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar) and in data structures, algorithms, and software design.
Preferred qualifications:
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience applying professional software engineering practices for the full system development lifecycle (e.g., coding standards and reviews, source control management, build processes, testing and operations).
Experience with deep learning frameworks (e.g., Torch, Caffe, Theano).
Understanding of the auxiliary practical concerns in production Machine Learning systems.
Ability to communicate complex technical concepts to technical and non-technical audiences.
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
As an Application Engineer focusing on AI tools, you will design and implement applications and tools to provide machine learning solutions that assist teams working with our customers.You will leverage core Google products including TensorFlow, DataFlow, and Vertex AI and work with users and stakeholders across our organization to identify opportunities and transform our business with machine learning.
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 problems.
Be a trusted technical advisor to customers and solve machine learning issues.
Develop solution architectures, integration strategies, platforms, application development and modernization approaches required to deploy complete business solutions.
Work with internal technical leads, cloud executives, and partners to manage and deliver implementations of cloud solutions.
Mentor stakeholders on the practical issues in machine learning systems, including feature extraction, feature definition, data validation, monitoring, and management of features or models.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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