Senior Customer and Partner Solutions Engineer, Machine Learning

3 Hours ago • 6 Years + • Artificial Intelligence • Full Stack Development

About the job

Job Description

The Senior Customer and Partner Solutions Engineer, Machine Learning, at Google's gTech Professional Services team works closely with Google Ads Product Managers and Software Engineers to develop sustainability solutions. Responsibilities include analyzing and resolving complex technical problems related to data and solution development, managing stakeholders (internal teams, external partners, and clients), providing feedback and technical solutions, and identifying opportunities to optimize and automate workflows. The role requires expertise in client-side web technologies, programming languages (Java, C/C++, Python), AI/ML frameworks (TensorFlow), and technical troubleshooting. Experience with the Ads ecosystem, Google Cloud ML Deployment, and Neural Networks is preferred.
Must have:
  • Bachelor's degree in relevant field or equivalent experience
  • 6+ years experience with client-side web technologies
  • 6+ years coding experience (Java, C/C++, Python)
  • Experience in technical troubleshooting and stakeholder management
  • Experience with AI/ML frameworks (TensorFlow)
Good to have:
  • Master's degree in relevant field
  • Ads ecosystem experience
  • Google Cloud ML Deployment experience
  • Neural Networks (Computer Vision) model experience
  • Knowledge/experience in sustainability (waste/recycling)
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Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience in technical troubleshooting, and managing internal/external partners or customers.
  • Experience with AI/ML frameworks such as TensorFlow.

Preferred qualifications:

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience in Ads ecosystem.
  • Experience with Google Cloud ML Deployment.
  • Experience with Neural Networks (Computer Vision) model.
  • Knowledge/experience in sustainability, particularly waste and recycling.

About the job

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our .

Responsibilities

  • Work closely with Google Ads Product Managers and Software Engineers across Google to improve or develop sustainability solutions for users, partners, and clients.
  • Analyze and resolve complex technical problems and roadblocks around data and solutions development.
  • Manage a diverse group of stakeholders ranging from internal teams to external partners and clients, providing feedback, maintaining communication, and delivering technical solutions.
  • Identify opportunities to optimize and automate workflows across a variety of product areas.
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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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