Senior Software Engineer, Commerce, AI/ML

Google is seeking a Senior Software Engineer to join their Commerce AI/ML team, focusing on developing next-generation technologies that impact billions of users' shopping experiences. The role combines software engineering expertise with machine learning specialization, particularly in areas like ML infrastructure, speech/audio technology, and reinforcement learning.

The Commerce team at Google handles over a billion shopping interactions daily, working to create seamless experiences from product discovery to checkout. This position offers the opportunity to work on critical projects that enhance Google's commerce ecosystem, supporting both large retailers and small local merchants with cutting-edge tools and technology.

The ideal candidate will bring strong software development experience (5+ years) with expertise in data structures, algorithms, and ML infrastructure. They'll be responsible for designing and implementing ML solutions, collaborating with cross-functional teams, and contributing to Google's commerce platform development.

This role offers competitive compensation ($166,000-$244,000 base salary) plus bonus, equity, and comprehensive benefits. Located in Pittsburgh, PA, you'll be part of Google's innovative culture, working with talented engineers and researchers to solve complex challenges in e-commerce and machine learning.

The position requires strong technical skills, including experience with software testing, maintenance, and launching products. You'll need to demonstrate expertise in ML infrastructure, including model deployment, evaluation, and optimization. The role combines hands-on coding with technical leadership opportunities, making it ideal for engineers passionate about applying ML to real-world commerce challenges.

Working at Google means joining a company committed to diversity, equity, and inclusion, with opportunities for professional growth and impact at global scale. You'll be part of a team pushing the boundaries of what's possible in e-commerce through artificial intelligence and machine learning.