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Applied Machine Learning Engineer, AICore, Platforms and Devices

Google organizes the world's information and makes it universally accessible and useful through innovative technology solutions.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI
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Description For Applied Machine Learning Engineer, AICore, Platforms and Devices

Google is seeking an Applied Machine Learning Engineer to join their Devices & Services team, focusing on combining AI, Software, and Hardware to create innovative user experiences. This role is crucial in bringing Gemini model capabilities to mobile applications through collaboration with DeepMind and CoreML teams. The position involves developing and deploying cutting-edge Generative AI features for Android, requiring expertise in machine learning infrastructure and model optimization. The ideal candidate will work at the intersection of mobile development and AI, contributing to Google's mission of organizing world's information and making it universally accessible. The role offers the opportunity to impact billions of users by creating radically helpful experiences through the integration of advanced AI models in mobile applications. Working at Google's Taipei office, you'll be part of a team that pushes the boundaries of what's possible in mobile AI applications, while ensuring optimal performance and user satisfaction through comprehensive model evaluation and deployment strategies.

Last updated a month ago

Responsibilities For Applied Machine Learning Engineer, AICore, Platforms and Devices

  • Partner with DeepMind and CoreML to bring the Gemini model to mobile applications
  • Create and deploy innovative Generative AI features that redefine the mobile experience
  • Utilize Machine Learning expertise to build high-quality, user-centric solutions for Android
  • Launch and scale Generative AI models to power critical use cases across the Android ecosystem
  • Ensure optimal performance and user satisfaction through comprehensive model evaluation

Requirements For Applied Machine Learning Engineer, AICore, Platforms and Devices

Python
  • Bachelor's degree or equivalent practical experience
  • 2 years of experience with software development in one or more programming languages (e.g., Python, C++), or 1 year of experience with an advanced degree
  • 2 years of experience with data structures or algorithms
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

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