Applied ML Engineer for AICore

Google is seeking an Applied ML Engineer for their AICore team to work on cutting-edge AI implementations for Android devices. This role sits at the intersection of artificial intelligence and mobile technology, focusing on bringing Google's advanced AI capabilities, particularly Gemini, to billions of Android users worldwide.

The position requires a strong background in software engineering and machine learning, with the successful candidate working closely with DeepMind and CoreML AI experts. You'll be responsible for designing and implementing revolutionary generative AI features that will reshape how users interact with their mobile devices. The role involves not just technical implementation but also ensuring that AI features are optimized for peak performance on mobile devices.

As part of Google's Devices & Services team, you'll be working at the convergence of Google AI, Software, and Hardware to create radically helpful experiences for users. The team is dedicated to making computing faster, seamless, and more powerful through innovative technologies and hardware solutions.

This is an exceptional opportunity for someone who wants to make a significant impact on how billions of people experience AI in their daily lives. You'll be working with cutting-edge AI models, particularly in the generative AI space, and will have the chance to shape the future of mobile interaction through AI implementation.

The ideal candidate should have a strong foundation in software development, experience with machine learning models (particularly DNNs and LLMs), and a track record of developing software products. Leadership experience is valued, as is expertise with major machine learning frameworks like PyTorch, Jax, or TensorFlow.

Working at Google means being part of a company that values diversity, equality, and inclusion, with a strong commitment to creating a culture of belonging. The role offers the opportunity to work with world-class AI researchers and engineers while contributing to products that will define the future of AI on mobile devices.