Principal Staff Software Engineer, AI and DataInfrastructure corporate_fare Google place London, UK Apply MinimumQualifications: - Bachelor’s degree or equivalent practicalexperience. - 8 years of experience in software development andwith data structures/algorithms in Python. - 7 years of experiencein leading technical project strategy, Machine Learning (ML)design, and optimizing ML infrastructure (e.g., model deployment,model evaluation, data processing, debugging, fine tuning). - 5years of experience with speech/audio (e.g., technology duplicatingand responding to the human voice), reinforcement learning (e.g.,sequential decision making) or ML infrastructure, or related MLfield. - 5 years of experience with design and architecture; andtesting/launching software products. Preferred qualifications: -Master’s degree or PhD in Engineering, Computer Science, or arelated technical field. - 5 years of experience in a technicalleadership role leading project teams and setting technicaldirection. - Knowledge of Generative AI (GenAI) model developmentfine-tuning and model adaptation. - Knowledge of ML systems andinfrastructure for production with customers and engineers. -Ability to develop a use-case specific definition for the data andpragmatically balance trade offs for research, privacy, and productusage. About the job Google's software engineers develop thenext-generation technologies that change how billions of usersconnect, explore, and interact with information and one another.Our products need to handle information at massive scale and extendwell beyond web search. We're looking for engineers who bring freshideas from all areas, including information retrieval, distributedcomputing, large-scale system design, networking and data storage,security, artificial intelligence, natural language processing, UIdesign and mobile; the list goes on and is growing every day. As asoftware engineer, you will work on a specific project critical toGoogle’s needs with opportunities to switch teams and projects asyou and our fast-paced business grow and evolve. We need ourengineers to be versatile, display leadership qualities and beenthusiastic to take on new problems across the full-stack as wecontinue to push technology forward. Google Cloud accelerates everyorganization’s ability to digitally transform its business andindustry. We deliver enterprise-grade solutions that leverageGoogle’s cutting-edge technology and tools that help developersbuild more sustainably. Customers in more than 200 countries andterritories turn to Google Cloud as their trusted partner to enablegrowth and solve their most critical business problems.Responsibilities - Collaborate with Google Cloud and GoogleDeepMind teams to ensure the Gemini models are improved rapidlybased on customer feedback. - Work across teams and organizationsto navigate technical ambiguity and bring clarity to theengineering work. This requires active scoping and driving progresswith detailed attention to technical details while aligning it witha big picture strategy. - Balance architectural and designresponsibilities with active participation in coding to providetechnical leadership and accelerate development cycles, ensuringseamless integration and rapid iteration across teams. - Developand implement systems-based solutions to problems, balancingplanning with rapid iteration to achieve timely results. - Drivetechnical project strategy, lead Machine Learning (ML)infrastructure optimization, and oversee the design andimplementation of solutions across multiple specialized ML areas.#J-18808-Ljbffr
