AI Developer Relations Engineer, Machine Learning Developer

Minimum qualifications:

• Bachelor's degree in computer science or equivalent practical experience.
  
• 5 years of experience with machine learning algorithms and tools including deep learning, neural networks, and Generative AI.
  
• Experience with JavaScript and Python programming.

Preferred qualifications:

• 5 years of experience in an external facing role or equivalent experience through community or open source contributions.
  
• Experience with testing, designing, and influencing software launches.
  
• Passion for social media (e.g., YouTube, LinkedIn, etc.).
  

About the job

As a Cloud Developer Programs Engineer (DPE), you stand at the intersection of a technology movement shaping our world - between the people who build it and the customers who use it. Developer Programs Engineers (DPEs) are the engineering wing of Developer Relations. We ensure that Google Cloud and related open source projects like Kubernetes, Beam and TensorFlow are amazing for developers. As "customer zero" we're the first developers to use upcoming services and ensure they meet customer's needs. We provide feedback on API design, platform consistency and functionality. We write sample code and work with our technical writing teams to produce developer documentation, quickstarts and tutorials. We release open source code, participate in developer forums and help troubleshoot developer problems.

Responsibilities

• Build a community of developers, speak at conferences, run events to explore new use-cases for AI, and author blog posts and create videos to help developers succeed.
• Partner with product and engineering teams to ship new models and features, ensure a high quality developer experience across SDKs, examples, documentation, and communicate new AI techniques to developers.
• Identify and solve points of friction in the developer experience, bring developer feedback to product and engineering teams, and advocate for the needs of users.
• Create and teach online courses, code examples, and inspiring demos.