5 hours ago
Zürich, SwitzerlandSenior
Responsibilities
- Identify, develop, and productionize GNN and ML methods for the GraphFlow GNN library.
- Develop and productionize industrial GNN/ML models and infrastructure for the GraphML for Google Systems initiative.
- Drive features through brainstorming, literature review, development, and productionization.
- Partner with product teams and research groups to translate business requirements into ML solutions.
- Help build a unified GNN and AI-agent system supporting Google’s storage, networking, and compute systems.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of experience with ML infrastructure, including model deployment, model evaluation, optimization, data processing, and debugging.
- Experience designing, training, and deploying Graph Neural Networks or graph embedding models.
- Experience with frameworks such as PyTorch Geometric, JAX/Jraph, or TF-GNN.
- Preferred: ability to lead R&D and production of complex ML and infrastructure algorithms.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.