Senior Staff Software Engineer role focused on GenAI solutions within Google Cloud Applications AI. The role involves designing, developing, and deploying large-scale AI/ML solutions, leading technical strategy, and overseeing the implementation of state-of-the-art GenAI, with a focus on bringing AI innovations to various industries.

Senior Staff Software Engineer role at Google Cloud AI Research focusing on designing, developing, and deploying state-of-the-art GenAI solutions for various industries. The role involves technical leadership, ML infrastructure optimization, and driving technical project strategy for high-impact projects, with a focus on shipping AI products to customers.

Senior Staff Software Developer role focused on developing and deploying GenAI solutions within Google Workspace, impacting billions of users. The role involves technical leadership, ML infrastructure optimization, and driving the strategy for state-of-the-art GenAI applications.

Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems for ad products.

Google is seeking a Senior Software Engineer for the YouTube Ads ML team. This role involves applying state-of-the-art machine learning techniques to deliver ad recommendations on YouTube by analyzing user activity sequence patterns. The engineer will create personalized advertising experiences, identify high-value users for advertisers, and research, design, apply, and launch innovative ML techniques. The role requires strong software development skills, experience with ML infrastructure, and Python programming.

Technical Lead Manager for ML and GenAI in Ads Safety at Google. This role involves managing a team of engineers focused on enhancing and rolling out ML models, solving bottlenecks, and architecting production-quality AI-powered products, including recommendation systems and potentially Generative AI Agents. Requires experience in building AI-powered products with technologies like RAG and managing ML systems in production.

Staff Software Engineer at Google working on AI/ML for YouTube Ads, focusing on composing, personalizing, and optimizing ad creatives at scale using deep learning, reinforcement learning, and generative AI. The role involves developing intelligent systems, building ML pipelines, exploring generative models for various media, and contributing to the architecture of centralized services for creative optimization.

Product Manager for Search Ads Relevance and User Quality at Google, focusing on building and launching ML models that leverage foundational models and LLMs to improve ad relevance and user experience across Google Search and AI Mode. This role involves cross-functional collaboration with engineering, research, and product teams to enhance AI systems for search and shopping ads.

Senior Software Engineer role focused on building and optimizing AI-driven personalization and recommendation systems for Google Search and Discover. The role involves developing new ranking algorithms, analyzing experiment results, designing recommendation system models, and leveraging ML infrastructure to influence what millions of users see daily. It requires significant experience in building and deploying recommendation systems models and ML infrastructure in production.

Senior Staff Software Engineer at Google, focusing on AI/ML for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions to enhance productivity tools like Gmail, Docs, and Meet. Responsibilities include technical leadership, ML infrastructure optimization, and driving technical project strategy, with a focus on shipping AI-powered features to billions of users.

Software Engineer for Gemini Live, a multimodal AI assistant destination focused on delivering natural, responsive, and personalized conversational experiences for users across various daily tasks. The role involves defining and driving the architecture for integrating Gemini Live, engineering multimodal experiences, developing non-verbal communication systems for low-latency performance, and partnering with GenAI/Model teams to integrate advanced capabilities and quality rubrics.

AI/ML Engineer for Google Public Sector, focusing on productionizing AI solutions for national security customers. The role involves acting as a technical advisor, designing and implementing AI architectures, and coaching customers on ML systems. Requires experience with ML frameworks, coding, and a Top Secret/SCI clearance.

Senior Software Engineer focused on AI/ML for Google Search Quality, involving development of ML models, leveraging ML infrastructure, and working with large-scale data processing and serving systems, particularly for abuse detection and search ranking.

Product Manager role focused on defining and leading the product strategy for user interaction with AI, specifically integrating LLM capabilities into products like intelligent assistants. The role involves defining roadmaps, prioritizing requirements, leading cross-functional teams, driving go-to-market strategies, and staying knowledgeable about advanced AI technologies and their emerging capabilities. Experience with AI model evaluation and user perspectives for AI products is preferred.

Senior Software Engineer, AI/ML, Search Growth at Google. This role focuses on designing and deploying advanced AI/ML models, building associated training and monitoring systems, and optimizing model performance for low-latency environments within Google Search's growth ecosystem. The position involves leveraging multi-modal embeddings and LLM-generated user profiles, designing A/B tests, and building infrastructure for hyper-personalized LLM prompts in a new AI Mode.

Software Engineer III at Google's YouTube focusing on implementing GenAI solutions, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements for AI/ML products. The role involves coding, collaboration, debugging, and working with core GenAI concepts like LLMs and Multi-Modal models.

Senior Software Engineering Manager for Google Search AI Quality and Protections. This role involves leading a team of over 20 engineers to ensure the integrity, reliability, accuracy, and safety of advanced Search features, including AI Overviews and AI Mode. The team focuses on developing safeguards, model improvements, and ranking refinements for high-stakes queries in health, civics, and finance, bridging the gap between model capabilities and rigorous quality standards.

Senior Staff Machine Learning Software Engineer for Google's Feed Recommendation team, focusing on identifying and solving technical challenges in content retrieval, ranking, quality, and personalization. The role involves developing and deploying models, including LLMs and multi-modal systems, to analyze and recommend content at a massive scale for billions of users. This position requires driving end-to-end solutions and advancing key recommendation domains.

Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale GenAI solutions within Google Ads. This role involves technical leadership, ML infrastructure optimization, and working with state-of-the-art GenAI techniques like LLMs and Large Vision Models.

Staff Software Engineer at Google working on GenAI for Google Workspace products. The role involves designing, developing, and deploying large-scale AI/ML solutions, optimizing ML infrastructure, and guiding data preparation and model optimization. It requires technical leadership and experience with state-of-the-art GenAI techniques, impacting billions of users.

Senior Software Engineer to design and implement GenAI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. The role involves writing and testing product code, collaborating with stakeholders, and evaluating tradeoffs between different techniques.

Senior Software Engineer to design and implement generative AI solutions for Google Workspace products, leveraging ML infrastructure and state-of-the-art GenAI techniques to impact billions of users.

Software Engineer III, Mobile XR at Google, focusing on building AR glasses applications that integrate AI, particularly Gemini-based translation models, for real-time speech translation and other helpful experiences. The role involves adapting and launching first-party apps for mobile platforms, leveraging Generative AI tools for development acceleration, and ensuring native XR support.

Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems.

Google is seeking a Senior Software Engineer to design and implement recommendation systems models for YouTube Ads, leveraging ML infrastructure and contributing to architecture. The role involves writing and testing code, collaborating with stakeholders, triaging issues, and deploying models in production.

Director of Engineering for Google Slides, leading the integration of AI into a collaborative presentation platform. Focus on accelerating innovation, defining the technical roadmap for an AI-first architecture, and partnering with cross-functional teams, including DeepMind, to build advanced AI capabilities and drive commercial success.

Engineering Manager for Google Images, responsible for ranking image results and improving quality through new signals, evaluation methods, and applying research. Leads technical initiatives in areas like Shopping in Images, Personalization, and AI-Organized Search Results. Manages a team of software engineers, guides technical strategy, and oversees development of ranking improvements.

Software Engineer role focused on the backend infrastructure for Google's Performance Max (PMax) AI-driven advertising platform. The role involves designing, developing, and maintaining highly scalable and reliable systems that automate ad campaigns across various Google products.

Research Engineer role focused on Generative AI for Virtual Try On, involving LLMs and Large Vision Models. Requires significant experience in ML infrastructure, including deployment, evaluation, and fine-tuning, and experience launching software products. The role involves technical leadership and influencing engineering teams.

Software Engineer role focused on building AI/ML systems for ad creative optimization at Google, utilizing deep learning, reinforcement learning, and generative AI to enhance relevance and performance for YouTube users.

Product Manager for YouTube's Growth Platform, focusing on ML ranking algorithms for content promotion to drive user engagement and subscriptions. This role involves leading the ML roadmap, partnering with engineering and data science, and defining principles for content promotions.

Software Engineer III, AI/ML, Search News Intelligence role at Google. Focuses on delivering AI-driven content for Google Search features like Top Stories, News Tab, AI Overviews, and AI Mode. Responsibilities include feature engineering for content understanding and ranking, optimizing ranking performance, deploying advanced signals, and implementing ML solutions using ML infrastructure.

Staff Software Engineer for Google Ads Connect Sales, focusing on AI/ML to empower sales teams. The role involves developing AI-powered products for the entire sales workflow, from lead generation to post-call summarization, by owning the core conversational understanding platform. This position requires technical leadership in designing, developing, and deploying large-scale software solutions, with a focus on Generative AI techniques and ML infrastructure optimization.

This role focuses on defining and delivering high-quality audio experiences across Google's Pixel ecosystem, integrating AI/ML technologies like LLMs, NLP, ASR, and TTS into consumer electronic devices. The engineer will lead system audio architecture, execute experiments, translate concepts into technical specifications, and drive solutions across hardware and software boundaries, collaborating with cross-functional teams and integrating research into products.

Research Data Scientist for Chrome, focusing on integrating GenAI to create a more helpful and adaptive agent, personalize user experiences, and drive data-informed innovation using advanced statistical and ML techniques, predictive modeling, and experimentation.

This role focuses on designing and developing metrics and measurements for Trust and Safety across various Google products. The Senior Business Data Scientist will leverage Google's production data infrastructure and AI-based content rating systems to drive business optimization and meet regulatory reporting requirements. Responsibilities include leading statistical design, implementing data pipelines, and collaborating with engineering and business stakeholders to make data-backed decisions.

Senior Data Scientist role focused on metrics research, advanced analytics, and user journey insights for Google's commercial search verticals. The role involves applying advanced modeling techniques like LLMs and Gemini models, conducting Human Evaluations, and designing research based on user survey data. Key responsibilities include metric development, product performance investigation, experiment design, and user journey analysis, with a focus on Search AI Mode experiences and Agentic Search.

Product leader for Google Labs focused on incubating 0-1 AI products, identifying whitespace opportunities, and navigating ambiguity to achieve product-market fit. Requires experience building AI-native consumer or creative products from conception to launch.

Senior Software Developer role focused on Computer Vision and XR at Google. The role involves developing and deploying geometric sensing capabilities for XR products, enabling features like 3D reconstruction and scene understanding. It requires experience with ML infrastructure, computer vision systems, and Augmented Reality. The position contributes to the convergence of AI and XR to create augmented human intelligence experiences.

Quantitative UX Researcher focused on user behavior and product quality/trust within Google Search, leveraging empirical methods and collaborating with engineering and product teams. The role involves analyzing user data, influencing stakeholders, and driving product improvements, with a requirement for experience in shipping ML, NLP, or LLM-powered products.

Director of Product Management for Safety & Privacy for the Gemini App, focusing on building trustworthy and secure generative AI products. The role involves leading a team to develop safeguards against AI risks, design privacy controls, and ensure data governance, while meeting global regulatory standards. Requires technical understanding, regulatory awareness, and leadership.

Senior Software Engineer role focused on building and shipping Gemini applications on Android, translating AI capabilities into user-friendly mobile experiences. This involves architecting scalable mobile systems, developing server-side logic, and owning CoreUI libraries for new model capabilities.

Engineering Manager for AI/ML networking safety solutions, focusing on leading a team to develop and deploy these solutions into production. The role involves managing project priorities, team development, and cross-functional collaboration within Google's AI and Infrastructure team.

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.