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Senior · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Google scores B on the Alion truth index.

Overview
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

Our mission is to empower good creators and safeguard the YouTube ecosystem. We achieve this by understanding creator behavior, identifying bad actors, and developing solutions that have a significant impact on the entire platform. We are not just about keeping the bad actors away, but also about helping good creators thrive.

We collaborate with complex, ambiguous problems where ground truth is not always available and where abusers are constantly adapting. We look for engineers that enjoy solving hard problems, are comfortable with ambiguity and are passionate about making a difference on a large scale. You will be part of a team that repeatedly finds ways to train successful classifiers and anticipates the next move of the abusers.

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

  • Conceive, build, and launch novel ML models and solutions, from initial ideas to full production deployment, addressing complex and ambiguous problems.
  • Integrate ML classifiers from other teams, harmonizing them into a powerful, cohesive classification systems that deliver unified insights.
  • Analyze complex problems, such as spikes in abuse or emerging platform vulnerabilities, to devise targeted solutions for mitigation and prevention.
  • Collaborate closely with a group of stakeholders across YouTube, including analysts, data scientists, and policy experts, leading data-driven solutions and influencing platform-wide strategies.
  • Be comfortable doing some amount of infrastructure work such as launching an ML classifier. This might involve designing and implementing robust data pipelines, optimizing system performance, or maintaining crucial classification infrastructure.

Qualifications

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 C++, Python, and SQL.
  • 3 years of experience with machine learning and data analysis.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
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