Job description

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. 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 Learn more about benefits at Google . • Partner with internal teams to define and implement solutions that improve internal business processes including customer ordering. • Identify, assess, estimate, and solve complex business challenges, where analysis of situations/scenarios or data requires an in-depth evaluation of variable factors including AI model accuracy. • Develop, build, and deploy solutions and work closely with business teams to translate business requirements into technical solutions that include ML pipelines implementing regression techniques. • Maintain highest levels of development practices (on Google Cloud Platform/Google3) including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular, and self-sustaining code. • Bachelor's Degree in Computer Science, Information Systems and Technology, a related field, or equivalent practical experience. • 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. • Experience working with one or more generative AI models (e.g., Gemini, OpenAI) during projects, research, or professional experience. Minimum qualifications: • Bachelor's Degree in Computer Science, Information Systems and Technology, a related field, or equivalent practical experience. • 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. • Experience working with one or more generative AI models (e.g., Gemini, OpenAI) during projects, research, or professional experience. Preferred qualifications: • Master's degree in Computer Science or a related technical field. • 2 years of experience with data structures and algorithms in either an academic or industry setting. • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. • Experience working in one or more of the following domains - supply chain, customer products, customer sales. • Knowledge of software implementation lifecycle (e.g., analyze, design, build, test, implement, support).

Requirements

Must-haves

Learn more about benefits at Google .
Partner with internal teams to define and implement solutions that improve internal business processes including customer ordering.
Identify, assess, estimate, and solve complex business challenges, where analysis of situations/scenarios or data requires an in-depth evaluation of variable factors including AI model accuracy.
Develop, build, and deploy solutions and work closely with business teams to translate business requirements into technical solutions that include ML pipelines implementing regression techniques.
Bachelor's Degree in Computer Science, Information Systems and Technology, a related field, or equivalent practical experience.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Experience working with one or more generative AI models (e.g., Gemini, OpenAI) during projects, research, or professional experience.
Bachelor's Degree in Computer Science, Information Systems and Technology, a related field, or equivalent practical experience.
2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Experience working with one or more generative AI models (e.g., Gemini, OpenAI) during projects, research, or professional experience.
2 years of experience with data structures and algorithms in either an academic or industry setting.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.

Nice-to-haves

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Master's degree in Computer Science or a related technical field.
Experience working in one or more of the following domains - supply chain, customer products, customer sales.
Knowledge of software implementation lifecycle (e.g., analyze, design, build, test, implement, support).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimljavapythongolangjavascripttypescript

Platform: google
Effort: medium