Software Engineer, YouTube Machine Learning at Google (San Bruno, CA)

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Minimum qualifications:

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• BA/BS in Computer Science or related technical field or equivalent practical experience.
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• Coding experience in C, C++, Java or Python.
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• Theoretical and practical experience with modern machine learning algorithms and tools, including deep learning and NLP.
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Preferred qualifications:

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• PhD in Computer Science.
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• Experience in a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning and search technologies.
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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 Googles 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 handle new problems across the full-stack as we continue to push technology forward.

With your technical expertise you manage individual projects priorities, deadlines and deliverables. You design, develop, test, deploy, maintain, and enhance software solutions.

Join the YouTube engineering team that designs and develops next-generation machine learning algorithms, systems, and solutions to detect abuse in a rapidly changing internet environment.

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.

Responsibilities

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• Design and develop innovative machine learning algorithms, systems, and solutions to detect content and engagement abuse in a rapidly changing adversarial environment.
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• Develop disciplinary frameworks and services to encourage appropriate user behavior.
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• Extract information and insight from both structured and unstructured information at the scale of the web.
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• Manage projects and deliverables, and design, deploy, and enhance machine learning-driven software solutions.
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At Google, we dont just accept differencewe celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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