Staff Software Engineer, Machine Learning, Gemini

ph3Minimum qualifications /h3 ul liBachelor's degree or equivalent practical experience. /li li8 years of experience in software development, and with data structures/algorithms. /li li5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. /li li5 years of experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision. /li /ul h3Preferred qualifications /h3 ul liMaster’s degree or PhD in Engineering, Computer Science, or a related technical field. /li li3 years of experience in a technical leadership role leading project teams and setting technical direction. /li li3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. /li liExperience with Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). /li liExperience developing, launching products, or technologies with LLMs. /li liDemonstrated data analysis skills. /li /ul h3About the job /h3 pGoogle'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. /p pA conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity. /p h3Responsibilities /h3 ul liWrite product or system development code. /li liReview code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). /li liContribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. /li liWork with research to understand SOTA technology and make adjustments/improvements to fit Gemini. /li liConduct in-depth data analysis to uncover insights, pinpoint opportunities, and inform the strategic development of a data flywheel. /li /ul /p #J-18808-Ljbffr