This role involves designing and implementing machine learning solutions for enterprise customers on Google Cloud, acting as a trusted technical advisor, and coaching customers on production ML systems. It requires experience with ML solutions, cloud enterprise solutions, and coding in general-purpose languages, with a preference for recommendation engines, data pipelines, and deep learning frameworks.

Senior Software Engineer role focused on the convergence of AI and XR, developing full-stack imaging and camera solutions for XR devices. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing technologies for next-generation products, and collaborating across various Google teams and external partners. Experience in imaging, computer vision, and ML perception is required, with a focus on shipping AI-powered XR products.

Product Manager for YouTube Ads User Quality, focusing on ML algorithms, auction design, and relevance models to improve ranking systems and user experience. This role involves defining metrics, designing A/B tests, and partnering with engineering and data science teams to develop and deploy next-generation ranking models.

Staff Software Engineer for YouTube Shopping Recommendations, focusing on applied machine learning and recommendation systems to enhance the shopping experience within YouTube. The role involves technical leadership, driving viewer growth through ML algorithms, and collaborating across teams to build and deploy these systems at scale.

Staff Software Engineer role focused on building and enhancing large-scale AI/ML systems for YouTube Ads, specifically for user interest modeling and ad recommendation. The role involves technical leadership, designing and implementing ML solutions, optimizing ML infrastructure, and guiding model optimization and data processing.

AI Engineer role focused on delivering and evolving a Generative AI curriculum for global participants, applying AI solutions to business challenges, and leading customer educational journeys. The role involves designing AI/ML curriculum, staying updated on ML developments, and serving as an ML subject matter expert for Google Cloud Consulting.

Senior Software Engineering Manager for Mobile Maps Innovation at Google. This role involves leading strategy and execution for new ways users search and interact with the physical world, focusing on leveraging location history and on-device components to provide intelligent, predictive context. The manager will oversee feature development, drive user-facing product initiatives (e.g., monetization), manage cross-functional projects, and grow/mentor a team. A key aspect is driving GenAI adoption and managing the deployment of models like Gemini Nano on hardware for validation.

Staff Data Scientist role focused on personalization and quality for Google Discover, involving the development and improvement of retrieval and ranking ML systems. The role requires leveraging AI and LLM techniques to enhance user experience and product growth, with responsibilities including analysis, research, and technical leadership.

Senior Staff Software Engineer role at Google, focusing on Search Intelligence. The role involves technical leadership, designing, developing, and enhancing large-scale software solutions, collaborating with AI/ML researchers and Product Managers, and ensuring the reliability and scalability of Search Intelligence features for the Indian market. Requires 8 years of software development experience and experience in technical leadership.

Senior Staff Software Engineer focused on building and growing the adoption of next-generation bidding technology and products for Search Ads, leveraging ML and Generative AI for optimizations. This includes developing full-stack backend software, implementing sustainable systems and data pipelines, and launching advertiser-facing products and backend improvements.

Manager for a team building the core next-generation user interface for XR Glasses, focusing on the convergence of AI and XR to create augmented human intelligence experiences. The role involves technical leadership, team management, product strategy, and overseeing the development of novel user interfaces in an emerging technical space.

Manage a team of software engineers to build and scale content safety solutions using ML/AI techniques for Google's core products, focusing on protecting users from harmful content. This involves technical leadership, people management, and ensuring the production-grade deployment and operation of these safety systems.

Manager for a Data Science Research team focused on protecting Android users from AI-driven threats like malware and impersonation. The role involves leading technical strategy, identifying impactful data science problems, and driving the development of advanced quantitative methods, including ML modeling, to create data-driven products and solutions. This involves cross-functional collaboration with Engineering and Product leaders to translate research into business decisions.

Senior AI/ML Software Engineer at Google, working on YouTube's knowledge systems. The role involves developing and deploying ML models, including LLMs and GenAI, to improve core YouTube products like Home, Search, and Recommendations. Responsibilities include writing and testing code, collaborating on design, debugging issues, and implementing ML solutions leveraging ML infrastructure. The role requires experience with software development, ML infrastructure, and potentially speech/audio or reinforcement learning.

Staff Software Engineer at Google YouTube Ads ML team, focusing on designing, developing, and deploying large-scale ML solutions for advertising products. The role involves technical leadership, optimizing ML infrastructure, and building recommendation system models.

Staff Software Engineer at Google, focusing on Search Intelligence. The role involves designing, developing, and deploying software solutions to improve the quality of AI-generated content within Google Search. This includes implementing and experimenting with AI/ML models, analyzing performance, and managing open-ended problems in large-scale systems. The position requires experience in AI platform and ML infrastructure, with a focus on improving AI-generated content quality and system health.

Senior Research Data Scientist role focused on driving AI product success for Android Tablets by owning the end-to-end data science lifecycle, developing inference algorithms, and estimating user lift using ML/statistical approaches and causal inference.

Technical Program Manager III, Machine Learning, Core at Google. This role focuses on driving innovation in machine learning to enhance Google's products, working with cross-functional teams to manage complex programs from start to finish. The role requires understanding ML technologies and their applications, managing schedules, and communicating with stakeholders at all levels. The team is responsible for AI and Infrastructure at scale, supporting Google's products and customers.

This role is for a Data Science Manager to lead a team in India focused on AI/ML initiatives for People Operations. The manager will provide technical leadership, oversee the development and deployment of AI/ML models (including NLP and predictive models), and bridge the gap between business needs and technical execution. The role involves hiring, mentoring, and managing the data science pod, driving technical architecture, and advocating for AI transformation within the organization.

Research Scientist role focused on developing and leading a health sensing roadmap for women's reproductive health, leveraging Google's hardware products, apps, and third-party integrations. The role involves driving new research ideas from conception through to production, collaborating with cross-functional teams, and publishing findings in top venues.

Product Manager for Google Ads Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. The role involves strategy development, cross-functional collaboration, and understanding the competitive retail landscape to drive the deployment of ML/LLM solutions. Experience with AI-native products and agentic commerce is preferred.

Senior Software Engineer role focused on building AI/ML features for Google Workspace products, impacting billions of users. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and collaborating with model builders from Google DeepMind to shape the future of productivity tools.

Product Manager for Generative AI on Google Cloud Platform, focusing on driving AI-driven experiences and solutions from ideation to production. This role involves cross-functional collaboration, roadmap definition, and staying current with Generative AI technologies to evolve product offerings.

Software Engineer role focused on designing, building, and maintaining content safety solutions for Google's business-critical products. This involves implementing Responsible AI standards, protecting users from harmful content using ML/AI techniques, and ensuring quality through classifiers and classifiers. The role requires production-grade experience in serving infrastructure and product integrations, with a focus on delivering scalable and future-proof solutions.

Software Engineer III at Google Workspace focused on implementing GenAI solutions for productivity tools like Gmail, Docs, and Meet. The role involves utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and working with core GenAI concepts such as LLMs, Multi-Modal, and Large Vision Models for text, image, video, or audio generation. The primary goal is to build AI-powered features into user-facing products.

Senior Software Engineer role focused on building and deploying recommendation systems, rankings, and predictions models within Google Ads, leveraging ML infrastructure and contributing to architecture design. Requires significant experience in building and deploying recommendation systems and ML infrastructure in production.

Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience.

Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization.

Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership.

Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization.

This role focuses on shaping user experiences for AI products, particularly in consumer devices and services. The Model UX Writer will define the AI persona, craft systems for human-AI interactions, and translate user needs into intuitive AI-driven solutions. Success requires collaboration with researchers, product managers, and engineers, with a focus on content architecture and conversational AI design.

This role focuses on leveraging emerging technologies, including machine learning, to build and scale innovative technical solutions for Google's largest advertising clients and partners. The primary responsibility is to adapt and scale existing solutions, automate workflows, and manage the full lifecycle of these scaled solutions to drive customer growth and enhance ad experiences.

Technical Program Manager III for Google Search and Translate, focusing on driving AI-powered feature development and model evaluation for consumer-facing products. Requires experience with prompt engineering or AI agents and understanding of ML/AI techniques.

Product Manager for AI/ML within Google Ads, focusing on leveraging unique data and advanced ML techniques to improve ad systems, measurement, and advertiser value, while navigating privacy and regulatory changes.

Software Engineer role focused on building full-stack web applications and backend services for smart manufacturing, with a key responsibility to integrate AI models (like Gemini) and intelligent agents to enhance factory operations through predictive analysis and anomaly detection. The role involves owning projects from prototype to production and collaborating with cross-functional teams.

Senior Software Engineer for Google's gUP Eng Support Engagement team, focusing on full-stack development for community platforms. The role involves architecting and building scalable systems, integrating AI/ML models for features like spam classification, and enhancing user engagement and self-service capabilities. Responsibilities include owning the technical roadmap, leading feature development, ensuring system stability and observability, and mentoring other engineers.

Software Engineer III, Full Stack, Cloud AI Developer Tools at Google. This role is part of the AI Developer Tools organization, building client-facing applications that integrate Google's AI capabilities into developer workflows. The engineer will be responsible for the end-to-end delivery of tools like Gemini Code Assist and the Gemini CLI. The role involves designing, writing, and testing code, operating with high agency, transforming ideas into prototypes, and collaborating with Tech Leads and PMs to launch features. The position requires full stack development experience and the use of AI tools in daily workflows.

Technical Program Manager focused on scaling and operationalizing AI solutions within Google's AI and Infrastructure team. The role involves program management, stakeholder communication, and driving AI project delivery across complex, multi-disciplinary projects.

This role focuses on identifying and combating egregious online harms across Google products by leveraging technical acumen and data analysis. The analyst will partner with Product, Engineering, Policy, and Legal teams to design and develop solutions for detecting and enforcing against abuse. Key responsibilities include performing data analyses, identifying improvements for detection and enforcement systems, leading projects, and analyzing the performance of technical models like ML systems and LLMs.

Visual Designer for YouTube's AI-powered experiences, focusing on evolving the design system and creating intuitive interfaces for generative AI features. The role involves defining visual identity, creating high-fidelity assets, and ensuring accessibility and ease of navigation for AI-driven features.

Product Manager for Camera and Photos XR Apps, focusing on leading first-person capture and media experiences across Google’s XR devices. The role involves defining how users capture, relive, and share their world through heads-up and hands-free interactions, and building core applications that define user value for XR devices. It emphasizes the convergence of AI and XR to augment human intelligence and create personalized, contextually aware experiences.

Software Tech Lead for Google Photos, focusing on client-side, server-side, and machine intelligence aspects. The role involves building and shipping AI-powered features, particularly those leveraging Generative AI and LLMs, within a large-scale consumer product.

Software Engineer role focused on the Google Ads budgeting system, involving data analysis, algorithm development (including ML-based techniques), and large-scale system design and implementation in C++. The role aims to improve the efficacy of core budgeting systems.

Product Manager for YouTube GenAI Creation Experiences, focusing on integrating generative AI tools to empower creators and lower the barriers to content creation.

This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos.

This role is for a Research Data Scientist on the YouTube Gaming Discovery team, focusing on helping gamers find content and playable mini-games within the YouTube app. The role involves collaborating with stakeholders, designing and evaluating models, and using data infrastructure to solve product or business problems. It requires experience with analytics, coding, and querying databases, with a preference for machine learning and recommender systems.

Staff Software Engineer role at Google focused on Ads Campaign Automation, leveraging Generative AI for asset generation and optimizing ad serving, bidding, and retrieval systems. Requires strong experience in ads buying platforms, large-scale distributed systems, and the Google ads ecosystem, with fluency in Mandarin for regional collaboration.

This role is for an Engineering Manager to lead teams focused on sharing infrastructure and UI primitives that integrate AI experiences, particularly for products like Gemini. The manager will own strategy, technical roadmaps, and people management, ensuring architectural decisions align with organizational priorities and leveraging AI/ML tools to enhance team velocity. The focus is on shipping AI-powered user experiences and driving adoption through sharing features.