Applied Machine Learning Engineer, AICore, Platforms and Devices

Google is seeking an Applied Machine Learning Engineer to join their AICore team within the Platforms and Devices division. This role sits at the intersection of cutting-edge AI and mobile technology, focusing on bringing advanced machine learning capabilities to Android devices. The position involves working closely with DeepMind and CoreML teams to implement the Gemini model for mobile applications, creating innovative Generative AI features that will transform how users interact with their devices.

The ideal candidate will combine strong software engineering fundamentals with specialized knowledge in machine learning and mobile development. You'll be part of Google's Devices & Services team, which combines Google's AI, Software, and Hardware expertise to create groundbreaking user experiences. The role offers the opportunity to work on projects that directly impact billions of users worldwide, implementing AI solutions that make computing more intuitive and powerful.

Key responsibilities include deploying and scaling Generative AI models across the Android ecosystem, ensuring optimal performance through comprehensive evaluation, and building high-quality, user-centric solutions. The position requires expertise in ML infrastructure, including model deployment, evaluation, optimization, and data processing.

This is an excellent opportunity for someone passionate about machine learning and mobile technology to work at the forefront of AI innovation, contributing to Google's mission of organizing the world's information and making it universally accessible and useful. The role offers the chance to work with world-class teams and shape the future of mobile AI applications.