3 Ranking Systems Jobs

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,

You will be responsible for formulating strategies and implementing solutions to drive anti-spam analytics and detection at scale within YouTube. Working in a fast-paced, dynamic, and proactive environment, YouTubes Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators worldwide to belong, create, and express themselves. As part of this team, you will work cross-functionally with stakeholders from policy, legal, engineering, data science, ranking, and product teams to address a variety of community abuse issues. Your role will involve guiding the team to perform investigations and apply advanced statistical methods to large data sets spanning billions of events and thousands of features from diverse data sources across the organization. You will lead the team in creating and deploying automated solutions for bulk classification of abusive content and behavior using various tools, features, and functions. Additionally, you will collaborate with stakeholders and partners in engineering, product, policy, and legal departments to drive anti-abuse solutions that impact various cross-functional areas. Your responsibilities will include formulating practical and long-term strategies and goals, as well as leading analyst teams to cover a wide variety of spam and abuse vectors across YouTube community engagements. To be successful in this role, you should have a Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. You should also have at least 5 years of experience in collecting, managing, and synthesizing data sets and information, statistical modeling, data mining, and data analysis. Additionally, 5 years of experience in managing projects, defining project scope, goals, and deliverables is required. Preferred qualifications for this role include 2 years of experience in management, along with experience in problem-solving and project management related to data management, metrics analysis, experiment design, and automation. Knowledge of classification systems or ranking systems, as well as an understanding of product and policy with the ability to communicate across multiple levels, is also preferred. Excellent investigative skills are essential for this position. At YouTube, we believe that everyone deserves to have a voice, and we strive to create a better world by listening, sharing, and building community through our stories. We empower individuals to share their stories, explore their passions, and connect with others. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal of showing people the world. Join us as we explore new ideas, solve real problems, and have fun together.,

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience in managing projects and defining project scope, goals, and deliverables. 1 year of experience with SQL, R, Python, or C++. Preferred qualifications: Experience in data management, metrics analysis, experiment design and automation. Experience with classification systems, ranking systems, LLMs, Artificial Intelligence (AI) agents. Experience in creating opportunities to conceptualize and complete while working with global teams. Experience in collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis. Experience in translating investigative insights into business strategies and actions. About the job Fast-paced, dynamic, and proactive, YouTube's Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. In this role, you will be analyzing data. You will work in a changing environment. You will be a contributor to the strategy for reducing network badness on YouTube. You will balance the requirements while demonstrating the ability to make quantitatively based recommendations accordingly. You will require on-call work at weekends on a rotational basis. You will be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube's Community Guidelines.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. Responsibilities Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Develop new workflows against known vectors of abuse. Learn technical concepts and systems and deliver results using them. Communicate technical results and methods. Manage technological solutions for streamlining quality assurance and produce training solutions to emergent workflows. Perform fraud and spam investigations using multiple data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows by process improvements, automation and anti-abuse system creation. Develop quality training materials, create consensus and maintain communication for YouTube Scaled Abuse with business stakeholders. Design and refine prompts for Large Language Model (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior.