Job Description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA.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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: speech/audio(e.g., technology duplicating and responding to the human voice),reinforcement learning (e.g., sequential decision making), MLinfrastructure, or specialization in another ML field.
- 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations.
- 8 years of experience in the recommendations technology domain.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
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.
In this role, you will focus on engaged visits via optimizing the feed and satisfaction of users on Shorts platform. This involves defining technical strategies and designing large-scale recommendation systems that ensure every visit provides high-value content to the viewer. You will lead a team in growing YouTube Shorts ecosystem by recommending Shorts that align with users’ dynamically changing interests.
The YouTube Shorts discovery models are a suite of large-scale AI/ML systems designed to model users’ interests by leveraging Google-wide data sources, understanding Shorts’ content and recommending the right content to the viewers. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action predictions, rich user model generation, and knowledge distillation for training more compact models.
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. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Define technical strategy for enhancing YouTube Shorts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
- Provide technical leadership on high-impact projects.
- Design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Shorts ecosystem.
- Partner with Engineering, Product, Data Science, and Research teams to convert business goals into scalable technical solutions that grow the Shorts ecosystem.
- Facilitate alignment and clarity across teams on goals, prioritization, outcomes, and timelines. Mentor and influence to uplevel junior engineers on the team.
Numbers & Facts
| Location | Mountain View, CA |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.
Skills
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Natural Languageunmatched
- Business Growthunmatched
- Computer Scienceunmatched
- Customer Satisfactionunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Data Storageunmatched
- Debugging Skillsunmatched
- Distributed Computingunmatched
- Ecosystemsunmatched
- Equal Employment Opportunity (EEO)unmatched
- Establish Prioritiesunmatched
- Information Retrievalunmatched
- Information/Data Security (InfoSec)unmatched
- Internet Searchunmatched
- Large-Scale Systemsunmatched
- Leadershipunmatched
- Leading Edge Technologyunmatched
- Machine Learningunmatched
- Mentoringunmatched
- Multitaskingunmatched
- Natural Language Processing (NLP)unmatched
- Network Designunmatched
- Problem Solving Skillsunmatched
- Product/Service Launchunmatched
- Reinforcement Learningunmatched
- Scientific Researchunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Team Lead/Managerunmatched
- Technical Leadershipunmatched
- Technical Strategyunmatched
- Technical/Engineering Designunmatched
- Test Plan/Scheduleunmatched
- User Interface Designunmatched
- YouTubeunmatched
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