Brazil Job Openings

AI Developer Relations Engineer, Machine Learning
São Paulo
November 1, 2024
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: São Paulo, State of São Paulo, Brazil.Remote location(s): Brazil.
Minimum qualifications:
- Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.
- 5 years of experience with machine learning algorithms and tools including deep learning, neural networks, and Generative AI.
- Experience programming in Java Script or Python.
- 5 years of experience in an external facing role, community or open source contributions.
- Experience with testing, designing and influencing software launches.
- Experience in existing social media presence in social media platforms or interest in creating one.
Join us to build the best tools in the world for AI developers. We are a team of developer advocates working to bring incredible models from Google Deep Mind to the developer community.
In this role, you will work on products (e.g., Google AI Studio and the Gemini API, Gemma open models, Imagen, Veo, Google Colaboratory, Kaggle, etc). You will be the interface between Google and our developer community, being their advocate, understanding their needs, solving their questions, speaking at conferences, participating at hackathons and engagements, creating amazing demos, and contributing to SDKs and frameworks. You will partner with product and engineering to bring cutting edge AI techniques to developers.
Responsibilities
- Build and nurture a vibrant community of developers around Google's Gemini API and Google AI Studio, Gemma, Google Colaboratory, and Kaggle. Speak at conferences (Google I/O, and Cloud Next, developer events), and run hackathons to explore new use-cases for AI. 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 Software Development Kits (SDKs), examples, documentation and communicate new AI techniques clearly to developers.
- Identify and solve points of friction in the developer experience. Bring developer feedback to product and engineering teams, advocate for the needs of users.
- Create and teach online courses and create code examples and inspiring demos.
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