Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.
Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Collaborate 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).
Analyze large-scale experimental results, develop evaluation frameworks balancing helpfulness and safety, and drive launches from conception to production.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C++, Python, Kotlin).
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Experience in launching Machine Learning or AI products from research to production.
Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience in building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models).
Experience with large-scale A/B experiments.
Experience designing, building, and debugging high-throughput backend systems, particularly involving AI model deployment.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C++, Python, Kotlin).
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Experience in launching Machine Learning or AI products from research to production.
Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
