17 hours ago
Taipei, TaiwanSenior
Responsibilities
- Design and develop toolchains supporting and accelerating multimedia AI activities.
- Develop specialized AI agents and orchestration architectures for complex goals.
- Implement, deploy, and scale multimedia machine-learning pipelines across Google Cloud and edge devices.
- Optimize machine-learning models for performance, latency, and deployment efficiency.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Eight years of software development and engineering experience.
- Experience coding in Python, C++, or other general-purpose programming languages.
- Experience with TensorFlow, PyTorch, JAX, or other machine-learning frameworks.
- Experience implementing, deploying, and maintaining machine-learning models and pipelines in production.
- Preferred experience with multimedia applications, video processing, or computer-vision machine-learning tasks.
- Preferred experience scaling machine-learning pipelines on cloud infrastructure and deploying optimized models to mobile or embedded devices.
- Preferred experience with quantization, pruning, hardware-aware tuning, distributed systems, system architecture, toolchain development, AI agent architectures, large language models, LangChain, or AutoGen.
- A master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred.
Tech Stack
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.