Research Engineer focused on building safety mitigations for frontier AI models, defending against misuse in domains like CBRNE and Harmful Manipulation. Responsibilities include building classifiers, data pipelines, monitoring systems, and evaluating/securing agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness research.

Research Scientist at Google DeepMind focusing on groundbreaking research in language technology, particularly multilingual and multicultural ability. The role involves solving new problems, improving existing models, developing technical solutions, and communicating research findings. Requires a PhD in NLP/ML or equivalent, Python, neural network training experience, and publication submissions. Preferred experience includes LLM pretraining, post-training, inference with multilingual data, and novel evaluations.

Staff Applied AI Agent Engineer for Google Cloud Platform, focusing on deploying and optimizing Generative AI agents for enterprise customers. The role involves partnering with customers, designing and co-developing AI solutions, creating reusable tools, and potentially contributing to the core product codebase. It requires significant software development experience and expertise in ML infrastructure, model deployment, and data processing.

Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to bridge the gap between AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. Responsibilities include technical mentorship, managing alignment with Product/Engineering/Sales, resolving production-level obstacles (data readiness, integration, state-management), leading technical hiring, identifying skill gaps in emerging tech (MCP, tool-calling, foundation models), and collaborating with product/engineering to translate field insights into roadmaps.

Senior Staff Forward Deployed Developer role focused on applying Google's Generative AI to customer problems, building and deploying AI agents on the Customer Engagement Suite platform. Responsibilities include understanding customer needs, designing and co-developing AI solutions, creating reusable tools, and optimizing ML infrastructure.

Product Manager role focused on developing and shipping AI systems, specifically science agents, that accelerate scientific discovery. The role involves bridging frontier research with product development, identifying impactful applications, and incubating new agentic capabilities. It requires technical depth, experience with LLMs, and familiarity with agent evaluation frameworks.

Lead an engineering team building an agent platform for an AI-first organization, focusing on orchestration, tool use, and sandboxing. This role involves significant technical contribution (30-50% coding) and team leadership, aiming to scale intelligent workflows.

Research Engineer focused on optimizing and maintaining serving infrastructure for robotics models, including performance analysis and inference optimization on TPUs, to accelerate research and deployment in a fast-paced environment.

This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases.

Software Engineer III role focused on developing and supporting AI/ML frameworks and compilers for Google Cloud's Tensor Processing Units (TPUs) and Google Processing Units (GPUs). The role involves enabling large-scale training and inference of advanced ML models, including generative models, computer vision, NLP, and speech, with a focus on PyTorch. Collaboration with internal teams and external researchers is key to advancing the PyTorch-in-Cloud offering.

Staff Software Engineer at Google DeepMind's Inception group, focused on building AI-powered interactive experiences for games. The role involves designing and implementing generative models and agentic workflows into game mechanics, leading integration of streaming models into game engines, and architecting 0-to-1 systems. Requires strong technical leadership, game tech R&D experience, and experience with AI/ML integration.

This role is for a Senior Software Engineering Manager at Google's Cloud Applied AI team, focusing on developing AI customer support agents. The manager will lead a team, define technical roadmaps, and work with customers and partners to build and deploy generative AI solutions for chat and voice interfaces. The role requires strong technical leadership, people management, and experience with GenAI techniques and ML infrastructure.

Staff Software Engineer role focused on building and deploying AI agents for enterprise customers within Google Cloud. The role involves direct customer partnership, co-development, and contributing to core product codebases, with a strong emphasis on taking product ideas from conception to full-scale production rapidly. Responsibilities include technical guidance on agent improvement, performance tuning, and CI/CD pipelines.

Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization.

Staff Software Engineer on the Google Cloud Generative AI Blackbelt team, focused on helping enterprise customers adopt and integrate Generative AI solutions. This role involves understanding customer needs, resolving technical blockers, recommending architectures, and supporting developers in leveraging Google's GenAI APIs.

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.

Senior Software Engineer to architect and build agentic infrastructure for unifying fragmented business domains, enabling agents to perform multi-hop reasoning and tool execution using RAG and LLM orchestration for customer context and autonomous action plans.

Senior Software Engineer focused on building and deploying custom conversational AI agents for enterprise customers on Google Cloud's Customer Engagement Suite. This role involves direct customer partnership, designing, developing, and optimizing AI solutions, and contributing to core product improvements. The role emphasizes problem-solving, creating reusable tools, and potentially optimizing ML infrastructure and data processing.

Software Engineer role focused on developing and optimizing the TPU compiler for large-scale machine learning models. This involves writing C++ code, designing performance optimizations, and applying AI techniques to the compiler itself. The role supports both internal Google teams (like DeepMind) and external Google Cloud customers.

Senior UX Designer for Android Onboarding, focusing on creating intuitive and engaging user experiences for billions of users. The role involves exploring and designing AI-focused solutions to provide personalized health guidance, collaborating closely with cross-functional teams, and translating complex data into user-friendly interfaces. Requires experience in consumer-facing mobile applications and integrating AI/Generative AI into products.

This role focuses on driving growth through technical consulting and demonstrating complex concepts to stakeholders, with a focus on live streaming and broadcast technologies. It involves configuring encoders, mapping signal chains, performing network assessments, and developing automation solutions. While experience with Generative AI tools and emerging technologies like AI/VR/AR is mentioned, the core responsibilities are not AI/ML development.

This role leads EMEA sales pursuits for Generative Media (GenMedia) within Google Cloud. The individual will bridge GTM strategy and sales execution, manage a sales team to acquire new customers and generate revenue, and transform C-suite perception of GenMedia. The role requires experience in GTM/Sales, executive-level presentations, and business development in AI or creative technology, with a preference for experience in creative agency operations or media production and understanding of AI/ML in media.

Sales Specialist role focused on growing Google Cloud's AI business by building customer relationships, demonstrating product functionality, and identifying use cases for AI solutions, including Gemini models and the Vertex AI platform. The role involves working with customers to deliver business value and helping them build new products leveraging AI.

Partner Engineer for YouTube, focusing on technical partnerships with content creators. The role involves developing product solutions, identifying and applying AI/ML use cases to improve partner operations and internal workflows, and ensuring technical integrity of partner integrations. Requires experience with client-side web technologies, coding, data pipelines, and preferred experience with Generative AI tools.

This role is for a Senior Quantitative UX Researcher focused on understanding user behaviors and needs for merchant shopping products. The role involves conducting primary research, analyzing data, and developing metrics to influence product strategy. A key aspect is developing AI-integrated workflows for UXers and leveraging AI/ML knowledge to inform research. The role is not directly building AI models but uses AI/ML concepts and tools.

Senior UX Designer focused on the future of AI, specifically creativity and learning tools. This role involves leading the end-to-end design of next-generation AI products, transforming emerging AI research into tangible prototypes, and influencing product roadmaps. The position requires experience bringing generative AI-powered products to market and collaborating with cross-functional teams.

Senior UX Designer for Google's Health Devices team, focusing on Fitbit trackers and other wearables. The role involves designing user interfaces and experiences that transform health data into personalized narratives and actionable guidance, leveraging AI to create hyper-personal health solutions. Collaboration with Product Management, Engineering, and UX Researchers is key.

This role focuses on applying data science and advanced analytics to marketing challenges within Google's Business Operations team. Responsibilities include supporting media strategy, measurement, and optimization, developing evaluation frameworks, and identifying performance predictors. The role requires experience in analytics, coding, and managing brand measurement frameworks like MMM and MTA.

This role focuses on executive policy engagement for Google DeepMind, driving implementation of policy strategies, developing briefings, managing international engagements, and preparing leadership for global events. It requires experience in public policy, government affairs, or executive engagement, with a strong emphasis on communication and stakeholder management, particularly concerning AI policy.

Develops next-generation technologies for Google Search on Android, focusing on front-end experiences, architecture improvements, and feature implementation. Leverages AI development tools to optimize workflows.

Software Engineer III role focused on developing and improving the Android Google Search App, impacting billions of users globally. Responsibilities include designing front-end experiences, implementing features, testing, and managing project deliverables, with an emphasis on leveraging AI development tools for workflow optimization.

Legal Counsel role at Google DeepMind focusing on providing legal advice for AI research, development, and commercial agreements. The role involves advising on various legal issues related to AI model lifecycles, from ideation to release, and negotiating partnerships.

Engineering Manager for Google Cloud Platform (GCP) and Technical Infrastructure (TI) focused on defining and managing failure domains to ensure reliability and isolation for customer workloads. The role involves technical leadership, people management, system design, and ensuring programmatic integration with failure domain definitions.

Administrative Business Partner for Google DeepMind, supporting AI development and product innovation. Responsibilities include calendar management, travel arrangements, stakeholder relationship building, meeting support, operational tasks, and financial administration.

This role focuses on shaping and delivering content for Google's global events, with a specific emphasis on the Europe, Middle East, and Africa region. The Content Researcher will contribute to event agendas, speaker acquisition, and the creation of various content assets. A key aspect of the role involves strengthening the Google brand, particularly in the area of artificial intelligence (AI), and advocating for the use of AI in work execution. The ideal candidate is a curious storyteller with experience in content production, journalism, events, or communications.

Technical Lead Manager for Android Frameworks at Google, focusing on display and power management technologies. The role involves managing a team of software engineers, contributing to technical designs, ensuring code quality, debugging issues, and driving process improvements within the Android ecosystem. Requires significant experience in software development, testing, architecture, and team leadership, with a preference for Android, iOS, Embedded, or Firmware domains.

This role is responsible for driving business growth in the EMEA region for YouTube creators by owning the go-to-market strategy, landing global and regional programs, and influencing global product roadmaps through regional feedback. The role involves identifying growth opportunities, building business cases, and partnering on pilots to scale market growth.

Software Engineering Manager for Learning Platforms within Google's Global Business Organization. This role involves technical leadership, people management, setting team priorities, developing roadmaps, designing systems, and writing code. While the role touches on ML model optimization, its core function is engineering management within a broader business context.

Technical Program Manager for Search Client Infrastructure Platform (SCIP) focusing on appyness and agentic/generative UI infrastructure across iOS, Android, and Web. This role supports Search's AI initiatives by delivering a unified client platform and enabling AI teams to develop on the platform.

Google is seeking a Software Engineering Manager for their Android Growth Systems and Frameworks team. This role involves managing the development and strategy for essential client-side features of the Google Search App for Android, including search entry points, user engagement systems, and AI-integrated search modes. The manager will oversee project priorities, deadlines, and deliverables, ensuring a quality user experience and collaborating with AI feature teams. The role requires significant software development and people management experience, with a focus on user-facing products and Android development.

Staff Software Engineer role at Google focused on Android Growth Systems and App Foundations. The role involves technical leadership, influencing and coaching engineers, managing project priorities, and designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. Requires significant experience in software development, testing, launching products, and Android application development, with a preference for advanced degrees and experience in technical leadership and complex organizations.