Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C++, Python, or Java programming languages and with data structures/algorithms, or 1 year of experience with an advanced degree. 2 years of experience building and architecting production quality Machine Learning (ML) systems. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch, or TensorFlow). Experience with launching applied ML/NLP projects. About the job 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. As a Software Engineer, you will shape the future of applied Machine Learning (ML) at Google and push the boundaries of what's possible with Generative Artificial Intelligence technologies, leaving a lasting impact on the field. You will be building the platform to integrate GenAI-based technologies into Google's suite of consumer-facing products. Your mission is to empower developers and researchers with GenAI enablement tools, driving innovation and unlocking the potential of ML across a diverse range of applications, and you will play a pivotal role in building a team to ensure the deployment of genAI across Google is as easy, economical, and as fast as possible. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities 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. Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle. Develop and maintain our products, written in C++ and Python, conforms with Google-wide coding and testing standards. Design and implement customer requested GenAI features through multiple stages such as requirements gathering, proposing design and building agreement among the key stakeholders, implementing and rolling out to production. Collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.