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.

This role focuses on building and scaling ML infrastructure for conversational AI products, including agent assist and dialogflow. The engineer will develop centralized infrastructure solutions to support product teams in areas like compliance, feature development, and scaling, working closely with model builders to accelerate go-to-market for new capabilities.

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.

Software Engineer role focused on building an AI-native Software Development Lifecycle (SDLC) ecosystem for Android and Pixel. The role involves developing intelligent tools, automation, and evaluation methodologies, leveraging on-device and cloud-based AI technologies, including LLMs and multi-agent systems, to optimize functionality, stability, and release velocity.

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.

Senior Software Engineer to drive technical strategy and architecture for an open-source AI Agent ecosystem, including the Agent Development Kit (ADK). Focus on building foundational libraries, SDKs, and developer tools to simplify the creation, deployment, and management of production-grade AI agents, enhancing developer velocity, reliability, and scale.

Senior Staff Uber Technical Lead for Observability Intelligence, driving the strategic shift of SRE incident response to an AI-driven paradigm within Google Cloud's monitoring systems. This role involves leading large-scale ML infrastructure optimization, defining the Observability Intelligence strategy, representing the organization in technical reviews, and partnering with Product Management to translate product needs into scalable architectural solutions. The focus is on building a cohesive, AI-powered observability ecosystem.

Staff Software Engineer at Google working on Search Ads ML and Large Language Models. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large scale software solutions, providing technical leadership, and leading the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure, and guiding the development of model optimization and data processing strategies. Requires experience in software development, ML infrastructure, and ML design.

Product Manager for Google Geo User-Generated Content Trust, focusing on leveraging AI/ML models to reduce fraud and abuse in Google Maps UGC. This role involves defining product strategy, roadmaps, and success metrics, and collaborating with engineering, analytics, and other cross-functional teams.

Manager for a Forward Deployed Engineering team focused on deploying bespoke agentic AI solutions within customer environments on Google Cloud. The role involves technical leadership, team management, hiring, and ensuring the team can resolve production-level obstacles related to AI integration, data readiness, and state management. Emphasis on designing and deploying multi-agent workflows, RAG systems, and tool-calling capabilities.

Software Engineer III at Google working on the Duplex product, which involves building phone conversation bots. The role requires creating datasets, evaluating AI model quality, and building Python backends for communication within the Geo ecosystem. Collaboration with other engineering teams across Geo, Search, and Research is expected to advance Duplex capabilities.

Staff Software Engineer focused on building and optimizing AI infrastructure, including large-scale training and inference workloads, AI clusters, and AI acceleration hardware/networking. The role involves driving technical roadmaps, ensuring end-to-end supportability, and implementing success metrics for the team.

Software Engineer III at Google, Enterprise Data Protection team, focused on building security controls to prevent data exfiltration, including threats from autonomous AI agents. The role involves designing and implementing AI-based classification systems and ensuring controls mitigate risks from both human and AI threats.

Senior Product Manager for Applied AI within Google Cloud, focusing on enterprise-grade products like Healthcare APIs and Risk AI models. The role involves defining strategy, roadmaps, and features for AI/ML products, collaborating with data science teams on model quality, and managing relationships with global banks and healthcare organizations. Requires experience in launching AI/ML products, particularly in Generative AI and large models, with a focus on balancing model quality and cost.

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.

Staff Software Engineer role focused on applying Generative AI and Machine Learning to solve real-world customer problems within Google Cloud. The role involves driving experiments, partnering with product/engineering teams and customers, and contributing to building practical solutions. Requires significant experience in ML design, infrastructure, training, and evaluation, with a focus on generative AI applications.

Staff Software Engineer for YouTube Shorts Creation, focusing on an AI-first editing flow and transitioning to an agentic orchestrator for video editing tools. The role involves technical leadership on Generative AI projects, influencing iOS engineers, and managing project priorities.

Software Engineer AI/ML Networking role focused on building and optimizing AI/ML networking solutions and smart NICs at Google. This involves working at the hardware-software boundary, writing C++ code, and contributing to ML infrastructure for model deployment, optimization, and data processing in high-bandwidth, low-latency environments.

Senior Software Engineer on the Core Engineering Education team at Google, focusing on embedding AI into curriculum and training. The role involves executing technical tasks to develop specialized AI agents and next-generation UI components for seamless human-agent interaction and effective in-the-flow learning, ultimately transforming how Googlers build software by transitioning from manual task execution to agentic orchestration. The team builds foundational technical solutions for Google's products.

Security Engineer focused on securing enterprise AI products and features at Google, assessing controls, and mitigating risks associated with AI use. Responsibilities include delivering security assessments and threat models for AI agents, proposing technical guardrails, and assisting with escalations.

Product Manager for GeminiApp, DeepMind, responsible for defining the core rulebook for Gemini's default behaviors, personality, and interaction style. This involves navigating subjective trade-offs, balancing model IQ and EQ, and developing frameworks for evaluating model quality from a taste perspective. The role collaborates closely with research, engineering, and post-training teams to bring the model's personality to life and ensure alignment with product goals and constitutional AI principles.

This role focuses on evaluating AI model performance for health applications, leveraging clinical expertise to guide product development and ensure safety, quality, and efficacy. It involves applying evidence-based practices and contributing to the real-world implementation of AI health products.

Software Engineer role focused on building and deploying ML models, including LLMs, for content safety in Google Commerce. This involves designing, building, and iterating on models for policy violation detection across text, image, and video, as well as developing pipelines for training data curation and model evaluation. The role requires collaboration with various teams to integrate safety measures and analyze data to improve systems. Experience in AI/ML is required, with a preference for generative AI and AI algorithms.

This role involves guiding Public Sector customers in developing, configuring, and deploying data and AI solutions on Google Cloud. The engineer will provide architecture guidance, best practices, and support for customer implementations, including the development and deployment of ML models and integrations. The role also includes customer-facing activities like site visits, solution deployment, and educational workshops, as well as collaboration with Google's Product Management and Engineering teams.

Product Manager for an Automotive AI Agent Platform, focusing on building voice and multimodal interfaces for machine learning systems in the automotive industry. The role involves managing the platform, collaborating with engineering on SDKs for OEMs, understanding customer requirements, defining the roadmap, and bringing new features from research to customers.

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.

Senior Software Engineer focused on AI/ML infrastructure within Google Cloud, involving development, testing, and deployment of ML models and systems at scale. Requires strong programming skills and experience with ML infrastructure or LLM deployment.

Senior Software Engineer role focused on enhancing generative AI models and techniques for Google Ads query understanding. The role involves writing and testing code, participating in design reviews, contributing to ML infrastructure, and identifying/evaluating emerging ML/AI technologies like Gemini models and LLMs to improve user query understanding.

This role focuses on defining and implementing safety strategies for generative AI systems, including developing evaluation paradigms, guiding engineering and research teams on safety mitigations like fine-tuning and guardrails, and analyzing the AI threat landscape to create a proactive mitigation agenda. The role is critical for ensuring AI safety is a foundational component of Google's AI systems.

Staff Software Engineer role focused on Vector Search Serving infrastructure for Google Cloud's Vertex AI platform, requiring experience with large-scale distributed systems and GenAI concepts.

Staff Software Engineer for Travel Ads, focusing on full-stack development, leading system design, and implementing GenAI inference pipelines and AI-native infrastructure. The role involves owning user-facing UI to back-end model infrastructure, collaborating with cross-functional teams, and driving engineering best practices.

This role focuses on building AI-driven systems and automated solutions to detect and mitigate harmful and abusive behavior within the Chrome Web Store and Extensions. The analyst will conduct technical investigations, reverse engineer extensions, and collaborate with engineering and product teams to develop and deploy new detection methods and signals, ultimately enhancing operational workflows through AI integration and process improvements.

Software Engineer, Machine Learning at Google, focused on building and maintaining ML models for Search Advertisements to predict user interactions and optimize advertiser bids. The role involves the full ML model lifecycle, from design and training to deployment and serving in production at scale, utilizing frameworks like Keras and TensorFlow.

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.

Software Engineer role focused on building and advancing ML data and training infrastructure to enable ML use cases for recommendation systems. Requires experience in software development, ML models, and ML infrastructure, including data processing, model optimization, evaluation, and deployment.

Product Manager for Google Health Coach's data nervous system, focusing on the intersection of hardware sensors, distributed systems, and Generative AI. The role involves managing the end-to-end journey of biometric data from device detection to AI insights, solving latency challenges, and defining real-time health for users. The PM will partner with Research on algorithms, own user data across surfaces, establish trust goals for the intelligence stack, and bridge technical gaps between engineering, AI Research, and Gemini teams to unlock agentic capabilities.

This role focuses on building Agentic User Interface (UI) flows for Large Language Model (LLM) journeys, collaborating with UX and researchers to democratize AI techniques and improve end-to-end user experiences for Google Cloud's Generative AI features.

The role focuses on designing and implementing software for AI infrastructure, specifically connecting Tensor Processing Unit (TPU) clusters and cloud systems. It involves building and integrating cloud compute software to support AI development and deployment at scale.

This role focuses on developing custom silicon solutions for Google's direct-to-consumer health products, involving the interpretation of health-related data from wearable sensors using machine learning/deep learning models. The engineer will also design, build, and validate new wearable sensors and collaborate on user studies, particularly for Software as a Medical Device (SaMD).

Application Engineer role focused on building Generative AI and LLM-based applications and agents, integrating them into web applications, and supporting sales and supply chain processes within the Google Devices & Services team. Requires strong software development skills and experience with AI/ML technologies.

Senior Software Engineer role focused on developing and launching AI-motivated features for learning products within Google Search and Lens. Responsibilities include data preparation, fine-tuning, prompt optimization, model evaluation, and driving cross-functional collaboration to ensure quality and delivery of AI features.

This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. The Solutions Acceleration Architect will lead technical relationships with partners, build trusted advisory relationships, and define technical architectures for AI initiatives including fine-tuning and RAG. The role involves showcasing the potential of data and AI to solve business challenges and contributing to industry thought leadership.

This role focuses on combating abuse within Google Workspace's agentic framework, building data pipelines and deploying models to identify and block malicious actors. It involves working with AI/ML models to protect users and the platform from various forms of abuse, particularly in the context of emerging agentic workflows.

Google's YouTube Discovery Data team is seeking a Staff Software Engineer to build and maintain large-scale data processing pipelines that power personalized discovery and ML models at YouTube. The role involves enabling next-generation model architectures and training procedures, reducing complexity in ML training infrastructure, and collaborating with other infrastructure teams. The ideal candidate will have extensive experience in C++ programming, large-scale infrastructure development, and a solid understanding of ML concepts.

This role focuses on optimizing the performance of AI models (like DeepSeek, Qwen, Gemini, Gemma) on TPUs at Google's scale. It involves fleet-wide analysis, building scaling automation, and last-mile optimization using techniques such as sharding, quantization, and sparsity, while maintaining model quality. The role engages with product teams and researchers to solve performance problems, requiring deep understanding of model design, performance analysis, coding, compilers, and hardware.

Software Engineer III role focused on developing GenAI and Vertex-based development tools, including server and middleware code that interacts with LLMs. The role involves integrating next-generation LLMs with a focus on performance and deployment constraints, working closely with AI researchers and product managers.

Software Engineer role focused on optimizing LLM serving infrastructure and GPU performance, including disaggregated serving, KV cache mechanisms, resource allocation, and performance analysis tools. Collaborates with research and engineering teams to deploy LLMs efficiently.