Qureos Mentor

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.
</li><li>5 years of experience with software development in one or more programming languages.</li>
<li>3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.<br>
</li>
<li>3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or artificial intelligence.<br>
</li>
<li>Experience developing algorithms (ranking, recommendations, prediction, search quality, personalization) and software that generates suggestions based on various input and output targets.
<br>
</li><li>Experience with programming in Python.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or a related technical field.</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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&rsquo;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.</p>
<p>
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
</p><p>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.</p><p>
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.
</li><li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
</li><li>Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
</li><li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
</li><li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
</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 Software Engineer, Machine Learning (Recommendations, Rankings, and Predictions), YouTube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, similar technical field of study, or equivalent practical experience</li>
<li>15 years of software engineering experience, including technical leadership</li>
<li>Engineering experience in machine learning with a focus in ML systems and recommendations, software development, and implementation</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Computer Science or related field</li>
<li>15 years of professional experience in engineering</li>
<li>Experience with full-stack backend software development and implementation of sustainable, well-designed systems and data pipelines, with production launch/impact</li>
<li>Deep technical expertise in building large-scale machine learning systems, and knowledge of ML models/algorithm design/implementation, and their application to real-world problems</li>
<li>Ability to communicate and collaborate effectively to create a shared sense of vision or purpose</li>
<li>Demonstrated track record of technical innovation with large-scale user facing products</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
We are looking for a visionary and influential Principal Engineer to help build the next generation of our Machine Learning (ML) Systems that enable new models at YouTube, including new paradigms, higher efficiency, and faster scaling. This will directly support a technological push for YouTube to build the next generation ML systems and models for recommendations. This role will involve partnering closely with ML/Product Engineers/Product Managers to build better experiences for our viewers; with Google Research to understand, create, or adapt new technology for YouTube&rsquo;s products; and with Infrastructure teams to build the next generation scalable solutions. This role also requires being a trusted partner to provide feedback and help in upleveling ML infrastructure and models for recommendations as a whole. Your work will help us scale these solutions for Responsible Recommendations in the YouTube Home, WatchNext, Shorts, Notifications, and other viewer experiences.
</p><p>This is an extremely exciting opportunity to pioneer areas at YouTube that will help improve our content recommendations and content understanding across the board.</p><p>
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.</p><p>
The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Provide the technical vision and strategy for machine learning systems and models for recommendations.</li>
<li>Design and lead a multi-year technical roadmap, balancing short and long-term technology investments.</li>
<li>Develop a vision for recommendation technologies with engineers, researchers, and other cross-functional partners.</li>
<li>Drive and coordinate collaboration with Google Research/DeepMind, Quality Product, and Infrastructure teams.</li>
<li>Review technical design from the team and guide technical discussions.</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>

Principal Engineer, YouTube Recommendations Infrastructure

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.

Youtube

ABOUT_COMPANY

Senior Software Engineer, Machine Learning (Recommendations, Rankings, and Predictions), YouTube

Principal Engineer, YouTube Recommendations Infrastructure