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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.
Machine Learning
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
AI · Enterprise SaaS

Description For ML System Engineer, AICore, Platforms and Devices

Google is seeking a Machine Learning System Engineer to join their AICore team within the Platforms and Devices division. This role sits at the intersection of AI and mobile technology, focusing on bringing advanced machine learning capabilities to Android devices. The position involves working with cutting-edge AI technology, specifically the Gemini model, and optimizing it for mobile deployment.

The ideal candidate will collaborate with DeepMind and CoreML teams to integrate Gemini into the Android ecosystem, designing privacy-focused on-device ML systems that enhance mobile interactions. They will work closely with Android partners to optimize model performance across various Neural Processing Units (NPUs) and develop next-generation algorithms for efficient on-device Generative AI.

This is an excellent opportunity for someone passionate about machine learning and mobile technology, offering the chance to impact billions of users through Google's Android platform. The role combines technical expertise in ML with practical system engineering, requiring both theoretical knowledge and hands-on implementation skills.

Working at Google provides exposure to world-class AI research and development, with access to cutting-edge technology and the opportunity to work with leading experts in the field. The position offers the chance to be at the forefront of mobile AI development, helping to shape the future of how users interact with their devices through advanced AI capabilities.

Last updated 2 days ago

Responsibilities For ML System Engineer, AICore, Platforms and Devices

  • Partner with DeepMind and CoreML teams to bring Gemini to the Android ecosystem
  • Design privacy-preserving, on-device ML systems
  • Collaborate with Android partners to fine-tune Gemini models
  • Develop next-generation algorithms and models for on-device Generative AI
  • Deliver excellent AI experiences 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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