Senior Staff Software Engineer, AI and Data Infrastructure

Principal Staff Software Engineer, AI and Data Infrastructure

corporate_fareGoogleplaceLondon, UK

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Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms in Python.
• 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, or related ML field.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred Qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Knowledge of Generative AI (GenAI) model development fine-tuning and model adaptation.
• Knowledge of ML systems and infrastructure for production with customers and engineers.
• Ability to develop a use-case specific definition for the data and pragmatically balance trade offs for research, privacy, and product usage.

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.

Responsibilities

• Collaborate with Google Cloud and Google DeepMind teams to ensure the Gemini models are improved rapidly based on customer feedback.
• Work across teams and organizations to navigate technical ambiguity and bring clarity to the engineering work. This requires active scoping and driving progress with detailed attention to technical details while aligning it with a big picture strategy.
• Balance architectural and design responsibilities with active participation in coding to provide technical leadership and accelerate development cycles, ensuring seamless integration and rapid iteration across teams.
• Develop and implement systems-based solutions to problems, balancing planning with rapid iteration to achieve timely results.
• Drive technical project strategy, lead Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

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