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Google Practice Specialist, Vision in Beijing, China

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

  • 5 years of experience in image and video processing, object detection, segmentation, classification, and related algorithms.

  • Experience with generative models for image and video synthesis, inpainting, style transfer, etc. (e.g., Imagen, Stable Diffusion).

  • Experience with image and video editing techniques, including manipulation, augmentation, and retouching.

  • Experience in Python.

Preferred qualifications:

  • Experience working with cloud-based platforms (e.g., Google Cloud Vertex Platform).

  • Experience in building image or video recognition systems (e.g., commercial or open source products).

  • Experience working with models that combine vision and language understanding, such as CLIP, ALIGN, or similar.

  • Experience with image and video processing.

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 developed 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.

As a Practice Specialist, you will serve as a trusted advisor, understanding the client's unique image and video processing needs. You will collaborate to design and implement tailored solutions using Google Cloud's powerful Vision capabilities, and help integrate these solutions into the client's existing workflows, optimize performance and scalability, and provide technical resources for success. You will also advocate for Vision within Google Cloud, ensuring that our Vision offerings continuously evolve.

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 problems.

  • Showcase the power and versatility of Google Cloud's Vision by guiding customers on integrating Google Cloud's Vision capabilities into their existing workflows and applications.

  • Assist customers in fine-tuning and customizing pre-trained models to meet their specific use cases (e.g., object detection, image classification, video analysis).

  • Create and deliver technical content (best practices, tutorials, code samples, presentations) to enable customers and internal teams to effectively utilize Google Cloud's Vision offerings.

  • Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the latest trends in image/video processing.

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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