1 day ago
Zürich, Switzerland or London, United KingdomMid Level
Responsibilities
- Apply research ideas to real-world problems through prototyping, dataset curation, model training, optimization, and deployment.
- Develop generative media techniques for image, video, and audio.
- Optimize algorithms and models for efficient inference.
- Advance multimodal understanding capabilities.
- Perform model optimization to improve performance and scale.
Requirements
- Master’s degree in computer science, mathematics, applied statistics, machine learning, or equivalent practical experience.
- Experience with TensorFlow or another machine learning framework such as JAX or PyTorch.
- Industry experience taking projects from proof of concept through implementation.
- Experience training diffusion models.
- Experience conducting applied research.
- Preferred experience with inference optimization, data pipelines, and large-scale model training.
- Preferred knowledge of machine learning, statistics, and diffusion-model theory.
- Preferred experience with cross-functional collaboration.
Tech Stack
PyTorchTensorFlow
Categories
AI ResearchML Engineering
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.