-
Research Data Scientist, GenAI Quality, YouTube
- Google (San Bruno, CA)
-
Research Data Scientist, GenAI Quality, YouTube
_corporate_fare_ YouTube _place_ San Bruno, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Minimum qualifications:
+ Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
+ 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
+ Experience in Machine Learning.
Preferred qualifications:
+ PhD in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
+ 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
+ Experience in reading and applying quantitative methodologies from the academic literature.
+ Expertise working with Large Language Models, GenAI Evaluation, AI tools, or Multimodal Machine Learning.
About the job
In this role, you will help shape the future of the Creator Economy by ensuring YouTube rewards high-value innovation over low-quality, automated content. You will partner with stakeholders in the YouTube Partner Program to measure and mitigate the risks associated with synthetic media. You will be a core member of the working group studying the rise of generative media. You will act as the bridge between detection and economics, using science to ensure our business generation encourages high-quality GenAI content while defunding abusive, low-effort generation.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 $141,000-$202,000 + 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.
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 aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
+ Develop the methodology for measuring low-quality synthetic content within the business generation ecosystem. Establish the definitions and frameworks required to distinguish creative tool utilization from abusive mass-production.
+ Design methodologies to validate Large Language Model (LLM) performance on nuanced content tasks. Leverage LLMs to develop and deploy 'hybrid' and 'LLM-first' metrics that distinguish between creative and repetitive content.
+ Apply sampling theory and optimization techniques to our north star metrics for business generation safety.
+ Own the process of gathering, extracting, compiling, and analyzing data across sources via relevant tools (e.g., SQL, R, Python).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 identity/expression, 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
-
Recent Searches
- Customer Service Representative Employee (Michigan)
- Security Engineering Manager Surface (North Carolina)
- Commercial Modifications Experienced Program (United States)
Recent Jobs
-
Research Data Scientist, GenAI Quality, YouTube
- Google (San Bruno, CA)
-
Sr Solutions Architect, eero
- Amazon (San Francisco, CA)