Senior Customer and Partner Solutions Engineer, Machine Learning

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 video .

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.