Qureos Mentor

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul><br>
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Preferred qualifications:</b></h3><ul>
<li>Experience with machine learning and experiment design principles.</li>
<li>Experience with recommender systems.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
YouTube Data Science influences and informs YouTube&rsquo;s product and engineering leadership. The Gaming Discovery team helps gamers find YouTube content whether it's videos about gaming (e.g., gaming-related content) or Playables (e.g., mini-games playable within the YouTube app).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 &mdash; and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits<br>
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Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.</li>
<li>Use custom data infrastructure or existing data models. Design and evaluate models to mathematically express and solve defined problems with limited precedent.</li>
<li>Gather information, business goals, priorities and organizational context around the questions to answer as well as the existing and upcoming data infrastructure.</li>
<li>Own the process of gathering, extracting and compiling data across sources via relevant tools (e.g., SQL and Python). Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.</li>
</ul></div>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 our Accommodations for Applicants form.</div>

Research Data Scientist, YouTube Gaming Discovery

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; London, UK</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.</p><div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div><br>
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.<br>
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<b>To learn more:</b> check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>
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In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits<br>
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Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</li>
</ul></div>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 our Accommodations for Applicants form.</div>

Senior Staff Site Reliability Engineer, AViD, YouTube Ads

Join Youtube and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Research Data Scientist, YouTube Gaming Discovery

Senior Staff Site Reliability Engineer, AViD, YouTube Ads