Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 3 years of experience building and deploying recommendation systems models

(retrieval, prediction, ranking, embedding) in production and experience

building architecture in different modeling domains.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams

and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

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.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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Guide the development of personalized, high-quality recommendations that will

directly shape the YouTube Shorts experience for millions of users.

• Drive significant viewer growth by designing and implementing ML technologies

and algorithm to enhance shorts recommendation quality across major YouTube

surfaces, including Home, Watch Next, Shorts First, Notifications.

• Gain experience across the entire recommendation system stack.
• Drive cross-team and cross-functional collaborations.