Software Engineer, AI Quality And Benchmarks

Software Engineer, Ai Quality And Benchmarks

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.

In this role, you will be responsible for research and development of quality evaluations and rater quality of intelligent applications on Pixel and Android, leveraging the latest on-device and server based models. This includes tasks such as creating auto-raters, ensuring metrics consistency, establishing benchmarks across set of features and products, working with teams across Google to design and align on appropriate quality and performance bar for AI launches.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities include:

• Interface with cross-functional and remote teams, engineering managers, and stakeholders to influence cross-team priority and roadmap.
• Ensure a safe and high quality experience for our AI products by crafting evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of our models, platform and algorithms across languages, locales, and different hardware.
• Collaborate closely with AI feature teams, model developers and researchers to understand evaluation requirements, provide support, and integrate new models and use cases into the evaluation and benchmarks.
• Identify opportunities, develop strategies, and lead roadmaps to improve the reliability, scalability, and efficiency of model evaluation processes.
• Stay up-to-date on the latest techniques and technologies and apply them to the team's technical solutions.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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