Senior Software Engineer, Generative AI, gUP

Design, develop, test, deploy and maintain large software systems for user feedback model serving, Cases AI assistant and other ML based support needs. Prototype and build features and solutions in a fast-moving environment.Manage individual and project priorities, deadlines and deliverables. Be a part of 24x7 support rotation.Collect and analyze data for training, understanding and evaluation to understand larger recurring problems, and solve them.Collaborate closely with Engineering, Product Management, and UX to complete tasks end to end with minimal guidance from executive leads, and influence product requirements.Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in Java programming language.1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or related technical field.Experience with software development in one or more programming languages (e.g. C++, Java, Python).Experience working with large scale data processing and ML platforms.Experience with quality analysis and improvement using relevant tools (A/B testing, experiment frameworks, data analysis).Excellent problem-solving, critical thinking and investigative skills.Excellent communication and teamwork skills with the ability to collaborate across boundaries.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.5 years of experience with software development in Java programming language.1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).