Machine Learning Algorithm Engineer, Silicon

Google is seeking a Machine Learning Algorithm Engineer to join their Silicon team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines advanced machine learning with hardware optimization, specifically in the domain of camera and video processing.

The position requires deep expertise in both computer architecture and machine learning, particularly in image processing and computational photography. You'll be working at the intersection of hardware and AI, developing algorithms that enable new imaging capabilities while considering hardware constraints and optimization opportunities.

As part of Google's hardware team, you'll contribute to products used by millions worldwide, pushing the boundaries of what's possible in consumer technology. The role involves close collaboration with various teams, including Hardware Architects, Research, Image Quality, and Software teams, to develop innovative solutions that bridge the gap between algorithmic design and hardware implementation.

The ideal candidate should have strong programming skills in C/C++ or Python, experience with machine learning frameworks like TensorFlow or PyTorch, and a deep understanding of computer architecture concepts. The role offers competitive compensation, including a base salary range of $156,000-$229,000, plus bonus, equity, and comprehensive benefits.

This is an excellent opportunity for someone passionate about machine learning and hardware optimization to work on cutting-edge technology that directly impacts consumer products. You'll be part of Google's mission to organize the world's information and make it universally accessible and useful, while working with state-of-the-art technology and talented teams.