The Imaging Machine Learning Engineer role at Google focuses on optimizing image quality across hardware and software stacks. The position is part of the Platforms and Devices team, which develops innovative technologies to enhance user interactions with computing. The engineer will leverage machine learning to improve image quality tuning and calibration workflows. This role requires collaboration with cross-functional partners to translate technical concepts into actionable insights.

• Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience.
• 2 years of experience in Image Quality, Computer Vision, or a related technical field.
• 2 years of experience in Python and C++ for algorithm development and implementation.

• Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning.
• Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions.
• Build software tools, utilizing machine learning automation to streamline image quality tuning, testing, benchmarking, and calibration workflows.

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