Google Inc.
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. This is a software engineering role for creating RoboRating capabilities with existing Large Language Models (LLMs) that produce reliable, reproducible ratings for real-world tasks. These tasks can include search result rating, search quality rating, Ad rating, Advertiser intent rating, Ad quality rating, and also rating visuals, presentation and aesthetics. These ratings are designed to be personalized to some target users. The responsibilities include being current research on user-modeling, user behavior simulation, and designing simulation systems that match or beat on real world user journeys. Once the user simulation is accurate, the responsibility also includes rating the journey produced against a slate of evaluation criteria, like helpfulness to the user, suitability to the task, keeping the user persona in mind. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Responsibilities
Understand current academic literature on LLM models\' capabilities, and research on autorating (through LLMs, and otherwise), user simulation, and evaluation. Understand the current system, and the needs for rating and simulation tasks in the Google Ads context. Build and deliver functioning systems to Google Ads, with the goal to improve the next generation of advertising system, for the user, the advertiser, while keeping in mind Google\'s serving constraints and systems. Qualifications
Bachelor\'s degree in Computer Science or equivalent practical experience. 5 years of experience with distributed Machine Learning and Machine Learning infrastructure, distributed systems and with Machine Learning algorithms at scale. Experience with applied computer vision or Machine Learning research and development, and supporting infrastructure. Experience with Large Language Models (LLMs). Preferred qualifications
PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. Experience in Machine Learning, or research achievements in the field of AI (e.g., product ownership, publications). Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field — we publish regularly in academic journals, release projects as open source, and apply research to Google products. We are an equal opportunity and affirmative action employer and are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing 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. 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. US base salary range for this full-time position is $166,000-$244,000 + 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.
#J-18808-Ljbffr
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. This is a software engineering role for creating RoboRating capabilities with existing Large Language Models (LLMs) that produce reliable, reproducible ratings for real-world tasks. These tasks can include search result rating, search quality rating, Ad rating, Advertiser intent rating, Ad quality rating, and also rating visuals, presentation and aesthetics. These ratings are designed to be personalized to some target users. The responsibilities include being current research on user-modeling, user behavior simulation, and designing simulation systems that match or beat on real world user journeys. Once the user simulation is accurate, the responsibility also includes rating the journey produced against a slate of evaluation criteria, like helpfulness to the user, suitability to the task, keeping the user persona in mind. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Responsibilities
Understand current academic literature on LLM models\' capabilities, and research on autorating (through LLMs, and otherwise), user simulation, and evaluation. Understand the current system, and the needs for rating and simulation tasks in the Google Ads context. Build and deliver functioning systems to Google Ads, with the goal to improve the next generation of advertising system, for the user, the advertiser, while keeping in mind Google\'s serving constraints and systems. Qualifications
Bachelor\'s degree in Computer Science or equivalent practical experience. 5 years of experience with distributed Machine Learning and Machine Learning infrastructure, distributed systems and with Machine Learning algorithms at scale. Experience with applied computer vision or Machine Learning research and development, and supporting infrastructure. Experience with Large Language Models (LLMs). Preferred qualifications
PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. Experience in Machine Learning, or research achievements in the field of AI (e.g., product ownership, publications). Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field — we publish regularly in academic journals, release projects as open source, and apply research to Google products. We are an equal opportunity and affirmative action employer and are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing 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. 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. US base salary range for this full-time position is $166,000-$244,000 + 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.
#J-18808-Ljbffr