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ML System Engineer, AICore, Platforms and Devices

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
AI

Description For ML System Engineer, AICore, Platforms and Devices

Google is seeking an ML System Engineer to join their Devices & Services team, focusing on combining Google AI, Software, and Hardware to create innovative user experiences. This role is crucial in developing and implementing machine learning solutions for the Android ecosystem, particularly working with Gemini models. The position involves collaborating with DeepMind and CoreML teams to advance mobile AI capabilities that will impact billions of users. The ideal candidate will have experience in software development, machine learning, and deep learning, with the ability to design privacy-preserving, on-device ML systems. This role offers the opportunity to work on cutting-edge AI technology while optimizing performance across various Neural Processing Units. The position is based in Taipei, Taiwan, and requires both technical expertise and collaborative skills to work with various teams and partners. Google's commitment to innovation and its massive scale make this an exciting opportunity for engineers passionate about advancing AI technology and its real-world applications.

Last updated 3 days ago

Responsibilities For ML System Engineer, AICore, Platforms and Devices

  • Partner with DeepMind and CoreML teams to bring Gemini to the Android ecosystem to support the future of mobile AI for billions
  • Design privacy-preserving, on-device ML systems that change mobile interaction and enhance core functionalities
  • Collaborate with Android partners to fine-tune Gemini models for excellent performance across an array of Neural Processing Units (NPUs)
  • Develop next-generation algorithms and models to enhance the performance and efficiency of on-device Generative AI
  • Deliver excellent AI experiences to ensure exceptional performance, reliability, and user delight through model optimization and quality assurance

Requirements For ML System Engineer, AICore, Platforms and Devices

Python
Java
JavaScript
  • Bachelor's degree or equivalent practical experience
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
  • 1 year of experience with data structures or algorithms
  • 1 year of experience with Machine Learning, Deep Learning

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