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Staff Software Engineer Machine Learning YouTube Shopping Recommendations
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Mountain View CA USA
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Advanced
Experience owning outcomes and decision making solving ambiguous problems and influencing stakeholders
deep expertise in domain.
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Minimum qualifications
Bachelors degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products and 3 years of experience with software design and architecture.
5 years of experience building and deploying recommendation systems models in production and building architecture in modeling domains.
5 years of experience with machine learning ML design and infrastructure e.g. model deployment model evaluation data processing debugging fine tuning.
Experience with C or Python.
Preferred qualifications
Masters degree or PhD in Engineering Computer Science or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience designing building and operating large-scale interactive systems e.g. search ads or recommender platforms.
Experience using ML frameworks such as TensorFlow or Jax.
Ability to communicate technical concepts to audiences and driving collaboration.
About the job
Googles 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. Were 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 Googles 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.
The YouTube Shopping Viewer team is at the forefront of a systemic shift in how viewers interact with content. Our mission is to fundamentally change video commerce by building a seamless shopping experience directly into the platform. Were partnering with some of the worlds largest retailers and store builders to natively integrate products into videos. When viewers engage with these products creators earn commission allowing them to monetize their content with minimal effort while helping their audience discover and decide what to buy.
This is an unique opportunity to shape a senior team from the ground up with a focus on cutting-edge applied machine learning and recommendations systems.
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.
The US base salary range for this full-time position is 207000-300000 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.
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.
Responsibilities
Guide the development of personalized recommendations that shape the YouTube Shopping experience for millions of users.
Serve as a technical leader responsible for defining the teams charter identifying new product opportunities and executing projects that bridge gaps in the recommendations ecosystem.
Drive viewer growth by designing and implementing machine learning ML technologies and algorithms to enhance Shopping recommendation quality across YouTube surfaces including Home Watch Next and Shorts.
Drive cross-team and cross-functional collaborations working with the product manager for YouTube Shopping recommendations and cross-functional partners to build a team for billions of users.
Gain experience across the recommendation system stack working with and developing technologies such as model architecture and large language models LLMs.
Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve creating a culture of belonging and providing an equal employment opportunity regardless of race creed color religion gender sexual orientation gender identityexpression national origin disability age genetic information veteran status marital status pregnancy or related condition including breastfeeding expecting or parents-to-be criminal histories consistent with legal requirements or any other basis protected by law. See also Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
If you have a need that requires accommodation please let us know by completing our Accommodations for Applicants form.
Google is a global company and in order to facilitate efficient collaboration and communication globally English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies Google does not accept agency resumes. Please do not forward resumes to our jobs alias Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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