Applied Machine Learning Engineer, AICore, Platforms and Devices

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Mobile

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 Google AI, Software, and Hardware to create innovative user experiences. The role involves working with DeepMind and CoreML to implement Gemini model applications for mobile platforms. You'll be at the forefront of developing and deploying Generative AI features that enhance the Android ecosystem.

The position offers an opportunity to work on cutting-edge AI technologies while contributing to Google's mission of organizing the world's information and making it universally accessible. You'll be part of a team that pushes technological boundaries, working on projects that impact billions of users globally.

As an Applied ML Engineer, you'll collaborate with various teams to build high-quality, user-centric solutions, focusing on model deployment, evaluation, and optimization. The role requires strong software development skills, experience with ML infrastructure, and a deep understanding of data structures and algorithms.

Google offers a diverse and inclusive work environment, welcoming people from all backgrounds. The company is committed to building a workforce that represents its global user base and provides equal employment opportunities. This role presents an excellent opportunity for those passionate about machine learning, mobile development, and creating impactful technology solutions at scale.

Last updated 8 days 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
  • Master's degree or PhD in Computer Science or related technical fields (preferred)
  • Experience with Machine Learning or Deep Learning (preferred)
  • Experience with Generative AI or Generative Modeling (preferred)
  • Experience with Mobile Development (preferred)

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