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.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
based on product/program updates and user feedback.
sources of issues and the impact on hardware, network, or service operations and quality.
leverage ML infrastructure, and contribute to architecture design.
and 1 year of experience with software design and architecture.
(retrieval, prediction, ranking, personalization, search quality, embedding) in production; and experience building architecture.
deployment, model evaluation, data processing, debugging).
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Source: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
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This base pay is below the median for senior ML and AI engineering jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.