Senior Software Engineer, Ai/Ml, Incubation Lab

Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.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.5 years of experience with data structures/algorithms.1 year of experience in a technical leadership role.Experience developing accessible technologies.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.Join the team and step into a role at the heart of our AI revolution.This isn't just another engineering position; it's a singular mission to solve the most critical issue in AI development today: sourcing and training data.Our team sits at the crucial upstream intersection of Google's flagship AI initiatives, directly fueling the progress of models that power Search, Bard, Gemma, Vertex, and the groundbreaking Gemini family.In the role, you will ensure that our model developers have cost-effective and seamless access to the massive, high-quality datasets essential for pushing the boundaries of what's possible.In Google Search, we're reimagining what it means to search for information – any way and anywhere.To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Responsibilities:Write and test product or system development code.Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.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.Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.