Hiring: Software Engineer, Generative Media AI, Apparel ML Company: Google Location: Mountain View, CA Job Posted Time: 2026-09-16 14:28:31 Target Skills & Keywords : AI, Computer Vision, Machine Learning, NLP, Systems Design, UI Design, User Experience About the job Experience: •1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). •2 years of experience with data structures and algorithms. Required Skills: •Learn more about benefits at Google . •Write product or system development code. •Partner cross-functionally with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). •Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. •Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. •Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualifications: •Bachelor’s degree or equivalent practical experience. •2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. •Master's degree or PhD in Computer Science or related technical fields. •Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. •Individual pay is determined by factors including job-related skills, experience, and relevant education or training. •US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Compensation: •Competitive benefits and rewards package •Health, dental, vision, life, disability insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!