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Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree. Preferred qualifications: Experience with developing at least one deep learning or conventional machine learning model for business impact. Experience debugging throughput, latency and response quality issues in AI products, from an analytical perspective. Experience managing large-scale data transformation pipelines for batch inference of ML models. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Googler Technology and Engineering (GTE) team partners with teams across the company to apply Google’s best Data Science techniques to Google’s biggest enterprise opportunities. We partner with Research, Core Enterprise Machine Learning (ML) and ML Infrastructure teams to build solutions for our enterprise.The GTE Data Science team's mission is to:Transform Google Enterprise business operations, supply chain, IT support and internal tooling with AI and Advanced AnalyticsEnable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying modelsBuild cross-functional services for use across Corporate EngineeringEducate product teams on advanced analytics and MLResponsibilities Define and report key performance indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results to business insights or product improvement opportunities.  Develop hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning. Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics etc. Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes. Unlock continually improving experimentation with algorithms like contextual bandits.  Convert business problems into unsupervised and supervised machine learning modeling problems, and build these model prototypes from scratch to justify business impact hypothesis. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in marketing analytics, return on investment analysis, and statistical modeling. Experience in designing and executing incrementality studies and A/B testing frameworks. Experience in managing external and internal stakeholder relationships and owning a portfolio of customers. Preferred qualifications: Experience in Media Mix Modeling (MMM), Incremenality and Multi-Touch Attribution (MTA) tools, with the ability to validate and integrate results from multiple measurement sources. Experience in SQL, Python, or R for building data models and gathering insights from datasets. Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, and moving beyond traditional conversion tracking. Knowledge of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices. About the jobBusinesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Develop an understanding of client marketing and business goals (e.g., Marketing Objective/Client Business Objectives (MOs/CBOs)). Design measurement strategies and define sophisticated Key Performance Indicators (KPIs) tailored to client maturity and eligibility. Lead the execution of measurement studies including conversion lift, brand lift, and geo-based experiment. Ensure statistical significance (StatSig) on all uplift data. Utilize investigative skills to model experimental results and triage them into media plan Return on Investment (ROI) analysis. Analyze attribute lift across channels to inform channel strategy and budget allocation. Reconcile data sources (e.g., Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Incrementality) to provide a unified narrative of media effectiveness, help clients navigate the shift toward third-party measurement. Partner with in-market sales and product specialist teams to interpret measurement results for client leadership. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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 one or more of the following languages: SQL, R, Python, or C++. Preferred qualifications: Master's degree in a quantitative discipline. 1 year of experience with machine learning systems. Experience with collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis, and with metrics analysis, experiment design and automation. Excellent communication skills. About the jobFast-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 have experience with analyzing data and scaled systems of review. You work in a changing and demanding environment. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be solving technological tests and setting standards. You will balance the requirements . You will require on-call work at weekends on a rotational basis. You will also 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 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. Design and refine prompts for Large Language Models (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior, including prompt engineering, data labeling, and performance analysis. Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows. Learn technical concepts and systems and deliver results using them. Maintain and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce training solutions. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML). 7 years of software experience designing and deploying large-scale AI/ML applications and complex models. Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management. Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps. Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform. Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge. About the job The POps Engineering team at Google is dedicated to building innovative and scalable technology solutions that empower Google's global workforce. We leverage the power of data and AI/ML to optimize HR processes, enhance employee experiences, and drive organizational efficiency. Joining our team means you'll be a leader in applying AI to solve complex and real-world challengesWe are seeking a highly experienced and results-oriented Senior AI Software Engineer to join our Human Resources Engineering (HRE) team in Hyderabad. In this role, you will be a technical lead, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact Google's employees. You will work on Google-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional partners, and contribute strategically to the future of HR at Google through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into robust, scalable, and efficient AI/ML systems.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR Engineering domain, ensure high reliability, performance, and long-term sustainability. Drive the development of advanced algorithms for HR applications like talent acquisition and engagement using Python and Google’s internal frameworks, including TensorFlow and JAX, to solve challenges. Architect robust data pipelines using Google’s infrastructure (e.g., Beam, Dataflow) for large-scale data ingestion, cleaning, and complex feature engineering, while leading root cause analysis for system troubleshooting. Own the full MLOps lifecycle, including deployment, monitoring, and optimization of production models, while establishing team-wide best practices for software development processes and high-quality code. Collaborate with cross-functional partners to translate business needs into technical roadmaps, provide mentorship to engineers and drive the strategic adoption of emerging AI technologies across the organization. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Experience designing, developing, and deploying large-scale AI/ML systems in a cloud environment. Experience with Google Cloud Platform (GCP). Understanding of a wide range of machine learning algorithms, statistical modeling techniques, and data analysis methodologies relevant to HR data and issues. Excellent technical leadership, communication, and people management skills, with the ability to influence and collaborate effectively with both technical and non-technical audiences. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will join our Human Resources Engineering (HRE) team in Hyderabad. You will be a technical manager, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact Google's employees. You will have an opportunity to work on Google-scale infrastructure, mentor a talented team of Engineers, collaborate with cross-functional partners, and contribute strategically to the future of HR at Google through innovative AI applications. You will be responsible for translating complex business issues and strategic objectives into scalable, and efficient AI/ML systems.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Lead and manage a team of AI Software Engineers, fostering a collaborative and high-performing environment. This includes hiring, mentoring, performance management, and career development. Drive the design, development, and deployment of scalable and reliable AI/ML systems and infrastructure relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning). Ensure the successful deployment, monitoring, and maintenance of AI/ML models in Google's production environments, advocating Machine Learning Operations (MLOps) best practices within the team. Drive technical excellence within the team, promoting high code quality, thorough testing, and adherence to Google's engineering standards. Identify and address technical issues and risks, making strategic decisions and trade-offs to ensure timely and high-quality delivery. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with marketing analytics, return on investment, and statistical analysis. Experience with SQL or scripts, building data models and dashboards. Preferred qualifications: Master’s degree in Analytics and Digital Advertising Measurement. Experience with MMM, A/B testing, incrementality, marketing analytics, and Google Analytics integrations. Ability to collaborate as part of a cross-functional team. Ability to work in a fluid environment with excellent time-management skills. About the jobBusinesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Develop an understanding of client needs basis their Marketing Objectives (MOs), measurement objectives and provide measurement strategy and define Key Performance Indicators (KPIs) based on their eligibility criteria. Design and execute measurement studies (Conversion Lift studies, Marketing Mix Modeling (MMM) calibrations etc.) for clients and position for success. Leverage knowledge of measurement platforms (e.g., Ads, GeoX) and skills to design measurement studies, model results, and triage to Return on Investment (ROI) analysis on the media plans to inform the channel strategy. Partner with Account Executives (AE) and Regional Product Lead (RPL) to interpret measurement results for the client and identify opportunities to increase product adoption for key solutions and grow investment. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience working in customer relationship development by working with digital media or digital marketing/advertising solutions. 8 years of experience leading, mentoring, and developing teams. Preferred qualifications: Experience collaborating with multiple stakeholders across organizational boundaries to influence teams with similar objectives, aligning resources and direction. Familiarity with offline media, brand lift, marketing measurement and attribution techniques (e.g., offline measurement, Marketing Mix Modeling (MMM), attribution) and Google advertising products (e.g., Google Ads, Analytics, Google marketing platform, etc.). Understanding of media industry issues to advance Google's forward-looking strategies within the marketplace by being a creative and performance-minded thinker. Excellent business judgment, strategic and problem-solving skills, including using data to guide strategy and business action, making presentations to C-Level/executive audiences with communication skills. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Lead the measurement charter for Google Customer Solutions (GCS) Americas, Commerce. Outline/refine key measurement priorities for MMS customers, based on emerging customer needs, product complexity, and regulatory dynamics. Build and sustain an effective and high-performing team and earn high stakeholder feedback and advocacy. Coach skills and capabilities to be effective in the role and deliver high-impact, business-driving work. Improve Return on Investment (ROI) through Key Performance Indicator (KPI) consulting, client measurement and attribution experiments. Guide team to define and own vertical/client’s measurement and analytics strategy and guide adoption of Google measurement and attribution solutions to increase the organization's measurement maturity. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.