Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
Y
YouTube
Principal Engineer, YouTube ML Content Recommendations
Career Insights for Machine Learning Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on California data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
Principal Engineer, YouTube ML Content Recommendations YouTube - 4.3 San Bruno, CA Job Details Full-time $307,000 - $428,000 a year 1 day ago Qualifications Computer science Software engineering Image processing Computer vision Data structures Machine learning (ML) fundamentals Design (software development lifecycle) Full Job Description Minimum qualifications: Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience 15 years of software engineering experience, including technical leadership Engineering experience in Machine Learning with a focus in recommendations and computer vision/image processing Experience in computer science, data structures, algorithms, and software design Preferred qualifications: Master's degree or PhD in Computer Science or related field Experience with full-stack backend software development and implementation of sustainable, well-designed systems and data pipelines, with production launch/impact Technical expertise in computer vision/image processing algorithms, including experience building large-scale ML systems and knowledge of ML models/algorithm design Ability to communicate and collaborate effectively to create a shared sense of outlook or purpose cross-team and cross-functionality Ability to think in a strategic manner to develop innovative product solutions About the job As Principal Engineer, you help bring better machine learning (ML) content understanding for recommendations to YouTube. This will be a technological push for YouTube and will involve partnering closely with ML/Product Engineers to build better experiences for our users, with Google Research to understand, create, or adapt new technology for YouTube's products, and with Infrastructure Teams to build scalable solutions. In this role, you will be a trusted partner to provide feedback and help in upleveling content understanding (e.g. via computer vision and image processing) for content recommendations as a whole. Your work will help us scale these solutions for Responsible Recommendations in the YouTube Home, WatchNext, Shorts Notifications, and experiences. 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.