The Machine Learning Staff Software Engineer for Pixel Camera at Google will focus on designing and implementing real-time on-device machine learning solutions that enhance camera and sensor functionalities. This role is part of the Pixel team, which aims to deliver innovative mobile experiences by integrating advanced AI, software, and hardware. The engineer will work on optimizing machine learning models for various processing units and ensure their deployment across millions of devices. Collaboration with product, UX, software, and hardware teams is essential to define and achieve next-generation interactive features.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software design and architecture.
• Experience with C, C++, machine learning, and embedded systems.
• Experience with machine learning algorithms.
• Experience with machine learning architecture.
• Experience with machine learning research.

• Design and implement the real-time on-device machine learning foundation that turns raw camera and sensor input into structured signals driving immediate application behavior.
• Drive the optimization of outlook models for NPU, GPU, and DSP execution, including quantization, hardware-aware architecture design, and custom kernel development.
• Own models end-to-end, from prototype through deployment on hundreds of millions of devices.
• Partner with product, UX, software, and hardware teams to define the requirements for next-generation interactive features.
• Establish best practices for machine learning development, deployment, and evaluation.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.