Google is seeking a Senior Software Engineer to join their Traffic AI team, which is responsible for developing core machine learning models that provide accurate, real-time travel time and traffic information to over a billion users worldwide. This role is central to the Google Maps experience, directly influencing how people navigate globally across consumer, auto, and enterprise products.
The position requires a creative, product-focused Machine Learning Engineer who can solve complex, real-world user problems. You'll take end-to-end ownership of challenges, translating ambiguous issues into clear machine learning formulations and managing the full lifecycle of model development. Working with massive, real-time datasets, you'll debug complex pipelines and collaborate closely with product, research, and infrastructure teams.
As part of the Geo team, you'll contribute to building the most accurate and comprehensive maps for users through products like Maps, Earth, Street View, and Google Maps Platform. The team serves over a billion monthly users who rely on Maps services for daily navigation and exploration. This role involves solving complex computer science problems, designing intuitive product experiences, and improving understanding of the real world.
The ideal candidate should have strong expertise in Python, TensorFlow, and C++, with significant experience in applied machine learning, including neural network architecture, model tuning, and loss function design. You'll need excellent communication skills and a passion for solving user-facing problems. The role offers competitive compensation including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits.
Key responsibilities include driving the full lifecycle of model development, debugging large-scale production data pipelines, designing experiments to validate model performance, and collaborating across teams to improve navigation for millions of users. This position offers an opportunity to make a significant impact on how people navigate their world while working with cutting-edge AI/ML technologies at scale.