Software Engineer III Machine Learning, YouTube Ads

YouTube, a part of Google, is seeking a Machine Learning Software Engineer to join their Ads team. This role combines software engineering expertise with machine learning specialization to improve YouTube's advertising products. The position offers an exciting opportunity to work on massive-scale problems, handling billions of YouTube queries and developing cutting-edge ML solutions.

The role involves working with advanced technologies including TensorFlow and Tensor Processing Units (TPUs) to optimize YouTube's recommendation system and ad products. You'll be responsible for implementing machine learning solutions, optimizing models, and ensuring efficient data processing at scale. The position requires strong coding skills in Python and C++, along with expertise in machine learning infrastructure.

As part of Google's engineering team, you'll collaborate with peers through design and code reviews, implement solutions in specialized machine learning areas, and contribute to model optimization. The role offers exposure to various aspects of machine learning, from model deployment to evaluation and debugging.

The position comes with competitive compensation, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits. You'll be working in Mountain View, CA, at the heart of Google's innovation center, contributing to technologies that impact billions of users worldwide.

This is an excellent opportunity for someone with a strong technical background who wants to work on challenging machine learning problems at scale, while being part of a team that's shaping the future of digital advertising and content recommendations. The role offers growth potential and the chance to work with cutting-edge ML technologies in a dynamic, fast-paced environment.