GenAI Technical Engagement Lead, DeepMind

🏢 Summary: Lead foundational UX research for generative AI products, shaping long-term product strategy and model behavior. The role partners with research, product, and operations teams to translate user evidence into AI evaluation frameworks, including measures for trust, agency, and hallucination tolerance. 🗂️ Requirements: Bachelor’s degree in Human-Computer Interaction, Psychology, Cognitive Science, related field, or equivalent practical experience, 8 years of experience in UX research, product strategy, or a related consumer technology field, Qualitative research experience, Quantitative research experience 📃 Skills: UX, AI, RLHF, Research, Analytics 🏢 Description: Minimum qualifications • Bachelor's degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field, or equivalent practical experience. • 8 years of experience in User Experience Research, Product Strategy, or a related field within consumer-facing technology. • Experience in qualitative and quantitative research methods. Preferred qualifications • Experience working on systems such as AI, search, algorithmic feeds, or cloud platforms where the user experience is driven by machine learning. • Experience influencing executive stakeholders and managing product changes through evidence-based narratives. Description Artificial intelligence will be one of humanity’s most transformative inventions. The role focuses on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users, with safety and ethics as priorities. Responsibilities • Identify the next wave of user needs in generative AI. • Move beyond tactical testing to lead foundational research that informs the multi-year product roadmap. • Define the signals used for model tuning through Reinforcement Learning from Human Feedback (RLHF) to ensure the AI’s personality and reasoning align with user expectations. • Partner with Research, Product Management, and Strategy and Operations to integrate user insights into core business and technical strategy. • Develop and scale new frameworks for evaluating AI. • Pioneer ways to measure complex concepts such as hallucination tolerance, creative agency, and collaborative trust that traditional UX metrics often miss.

🏢 Summary: AI research role focused on developing and evaluating frontier models, building state-of-the-art evaluation datasets, and guiding research projects from design through release. The position includes publishing research, managing timelines and resources, and analyzing how offline evaluations relate to live production performance. 🗂️ Requirements: PhD in Computer Science, related field, or equivalent practical experience, 2 years leading a research agenda, 1 year of data science experience, Experience training, testing, evaluating, and tuning AI models, Experience managing LLM release cycles and timelines 📃 Skills: AI, LLM, Python, Datasets, Evaluation, Testing, Tuning, Coding 🏢 Description: Minimum qualifications • PhD in Computer Science, a related field, or equivalent practical experience • 2 years of experience leading a research agenda • 1 year of experience in a data science field • Experience with AI model training, testing, evaluation, and tuning processes, as well as LLM release cycles and timeline management Preferred qualifications • 2 years of coding experience • 1 year of experience leading research efforts and influencing other researchers About the job Artificial intelligence will be one of humanity’s most transformative inventions. DeepMind is a pioneering AI lab with interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. The work emphasizes widespread public benefit, scientific discovery, safety, and ethics, and offers learning opportunities and varied career pathways for people driven to achieve results through collective effort. Responsibilities • Author research papers to share and generate impact from research results across functions and in the research community • Drive project work by defining data structures, frameworks, designs, and evaluation metrics for research solution development and implementation; identify timelines and obtain needed resources • Identify gaps in existing release evaluations and create new state-of-the-art datasets that push frontier models to their limits • Build a deeper understanding of the relationship between static evaluations and live production traffic

🏢 Summary: Research-focused Software Engineer role advancing large language model and information retrieval capabilities for Gemini, Search, and related products. The position combines model evaluation, multi-stage training and practical modeling innovations, with deployment of research advances alongside Search and YouTube teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience, 3 years of machine learning experience focused on Large Language Models or Information Retrieval, 3 years of software engineering experience using Python, C++, JAX, or PyTorch, Experience implementing multi-stage training pipelines or algorithms 📃 Skills: Python, C++, JAX, PyTorch, LLMs, IR, MachineLearning 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. • 3 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR). • 3 years of experience with software engineering in Python, C++, JAX, or PyTorch programming, including experience implementing multi-stage training pipelines or algorithms. Preferred qualifications • Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks. • Experience with competitive programming, mathematics competitions (e.g., ICPC, IOI, IMO), or a track record of developing novel algorithms. • Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines. • Experience collaborating with product engineering teams to deploy machine learning models or research innovations into large-scale production environments (e.g., Search, Recommendation Systems). • Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles. About the job Research-focused Software Engineers create experiments, prototype implementations, and design new architectures for real-world challenges such as artificial intelligence, data mining, natural language processing, hardware and software performance analysis, compilers for mobile platforms, and core search. The role includes large-scale testing and rapid deployment of promising ideas, while contributing to the wider research community through university partnerships and published papers. Responsibilities • Uncover strategic opportunities at the intersection of Gemini, Search, factuality, continual learning, deep research, and domain internalization. • Analyze models and model-driven products beyond current leaderboards; understand complex problem spaces and create new ways to measure ideal behavior. • Use empirical findings to develop practical interventions and modeling innovations that improve models across downstream surfaces. • Collaborate with product teams such as Search and YouTube to scale research innovations into production environments, optimizing for quality and efficiency.

🏢 Summary: Senior technical leadership role focused on designing and scaling an AI-powered DevAI platform for Ads engineering workflows. The position leads foundational infrastructure, custom agents, and AI-forward architecture initiatives across Ads organizations. 🗂️ Requirements: Bachelor’s degree in Computer Science, Mathematics, engineering, or equivalent practical experience, 15 years of professional engineering experience 📃 Skills: DevAI, LLMs, GoogleAds, AdSense, Infrastructure, Architecture, Automation 🏢 Description: Qualifications Minimum qualifications • Bachelor’s degree in Computer Science, Mathematics, or another relevant engineering discipline, or equivalent practical experience • 15 years of professional engineering experience Preferred qualifications • Master’s degree in Computer Science, Mathematics, or Engineering • Experience providing technical leadership across a larger organization and motivating stakeholders at all levels through a shared vision and purpose • Knowledge of Google Ads products, relevant product and user ecosystems, and competitor products • Ability to balance detailed technical guidance with big-picture strategy • Thought leadership to identify and design problems aligned with principal-engineer scope and complexity, with a desire to solve difficult engineering problems • Demonstrated technical innovation in large, complex, cross-functional engineering environments About the job The Ads DevAI Platform team enables Ads to use LLMs to accelerate optimizations, infrastructure migrations, resource efficiency, and more. The team builds infrastructure and marquee agents that enable AI-powered acceleration for Ads engineering workflows. This role provides senior technical leadership to design and accelerate Ads engineering workflows using AI. The broader Ads organization builds advertising products across search, display, shopping, travel, and video advertising, as well as analytics, creating trusted experiences between people and businesses through useful ads and effective advertiser tools. Responsibilities • Design and build foundational DevAI infrastructure for Ads, ensuring extensibility, broad applicability, and maximum ROI across business verticals and functions • Provide technical leadership and oversight for cross-cutting Ads internal AI projects, including marquee agents, AI-friendly infrastructure, and strategic DevAI initiatives • Drive the transition to AI-forward architecture and self-managing codebases through agentic, evaluation-driven development, skills, and context integration • Lead the technical strategy and development of the DevAI platform and custom agents, while mentoring Business Account Managers AI across Ads infrastructure organizations • Collaborate with technical leaders across Ads PAGs, Core, and GDM to influence roadmaps, technical direction, and the broader Buying platforms and Ads vision

🏢 Summary: Lead Google Cloud AI Research engineering teams developing and deploying large-scale generative AI solutions. The role combines technical strategy, ML infrastructure optimization, system design, code development, and people leadership across multiple teams and locations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8+ years of software development experience, 5+ years leading ML design and ML infrastructure optimization, 3+ years in technical leadership, 2+ years with state-of-the-art GenAI techniques or related concepts, 2+ years of people management or team leadership experience 📃 Skills: Python, C, C++, Java, JavaScript, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Debugging, Finetuning 🏢 Description: 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). • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 3 years of experience in a technical leadership role. • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 3 years of experience working in an organization involving cross-functional or cross-business projects. About the job Software Engineering Managers provide technical leadership for major projects while managing teams of engineers. They manage project goals, contribute to product strategy, develop their teams, and help engineers optimize their code. This role manages engineers across multiple teams and locations, a large product budget, and the deployment of large-scale projects across multiple international sites. The Google Cloud AI Research team addresses AI challenges across industries including technology, healthcare, finance, and retail, conducting research with scientific and real-world impact and collaborating with product teams to bring innovations to customers. Responsibilities • Set and communicate team priorities that support broader organizational goals; align strategy, processes, and decision-making across teams. • Set clear expectations based on individuals’ levels and roles; meet regularly to discuss performance and development, and provide feedback and coaching. • Develop the mid-term technical vision and roadmap for one or more teams; evolve the roadmap for future requirements and infrastructure needs. • Design, guide, and vet system designs; write product or system development code to solve ambiguous problems. • Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.

🏢 Summary: Software engineering role focused on building, testing, and maintaining scalable Google Search products, with a strong emphasis on GenAI solutions and ML infrastructure. The position involves full-stack engineering, design and code reviews, production issue resolution, and evaluating GenAI techniques for large-scale user experiences. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of Python or C++ programming experience, 3 years of software product testing, maintenance, or launch experience, 1 year of software design and architecture experience, 3 years of ML infrastructure experience, 1 year of GenAI techniques or GenAI-related concepts experience 📃 Skills: Python, C++, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Optimization, Debugging, Architecture 🏢 Description:

🏢 Summary: Lead the architecture and scaling of AI/ML infrastructure for YouTube Ads creative automation. The role focuses on high-throughput distributed systems, GenAI media-processing pipelines, experimentation platforms, and technical leadership across product and research teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience, 8 years of software development experience, 5 years of software product testing and launch experience, 5 years building large-scale infrastructure, distributed systems, networks, compute, storage, or hardware architecture, 3 years of software design and architecture experience, Experience designing or deploying machine-learning infrastructure or platforms 📃 Skills: Python, TensorFlow, PyTorch, Cloud, Distributed, Infrastructure, Architecture, Algorithms, MachineLearning, DeepLearning, GenAI 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing and launching software products. • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • 3 years of experience with software design and architecture. • Experience designing or deploying machine learning (ML) infrastructure or platforms. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies. About the job Develop next-generation technologies that operate at massive scale. Work on a project critical to business needs, with opportunities to switch teams and projects as priorities evolve. Bring ideas across areas including distributed computing, large-scale system design, networking, data storage, artificial intelligence, and more. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions. The YouTube Ads Creative Optimization (YACO) team develops Creative Automation applications that drive advertiser value with minimal advertiser effort by leveraging AI technologies. The team operates at the intersection of Ads, YouTube, and Research. Responsibilities • Serve as the technical leader responsible for architecting, scaling, and steering next-generation infrastructure that powers AI/ML applications. • Operate at the intersection of Ads, YouTube, and GenAI research to build high-throughput systems enabling seamless creative generation and optimization. • Define the technical roadmap and architect scalable foundational infrastructure, including creative data engines, generation and rendering pipelines, and agentic orchestration frameworks. • Design and optimize distributed systems for complex GenAI and heavy media-processing workloads. • Build and mature experiment and learning infrastructure to accelerate model training, evaluation, and rapid deployment. • Partner with Product Management, Research, and executive leadership to align infrastructure capabilities with long-term business goals. • Guide, mentor, and elevate executive and junior engineers, fostering technical excellence and execution.

🏢 Summary: Software engineering role focused on building, testing, and maintaining product and system code, with an emphasis on designing and implementing GenAI solutions using ML infrastructure. The position involves design and code reviews, technical documentation, issue triage, and evaluating tradeoffs across GenAI techniques and application domains. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of Python or C++ programming experience, 3 years of software product testing, maintenance, or launch experience, 1 year of software design and architecture experience, 3 years of ML infrastructure experience, 1 year of GenAI, language modeling, or computer vision experience 📃 Skills: Python, C++, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Optimization, Debugging, Architecture, Algorithms 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience programming in Python or C++. • 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 ML infrastructure, including model deployment, model evaluation, optimization, data processing, and debugging. • 1 year of experience with state-of-the-art GenAI techniques, including LLMs, multimodal, or large vision models; or with GenAI-related concepts such as language modeling or computer vision. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • 5 years of experience with data structures and algorithms. • 1 year of experience in a technical leadership role. • Experience developing accessible technologies. About the job This software engineering role involves working on a project critical to business needs, with opportunities to switch teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership qualities, and take on new full-stack problems. Responsibilities • Write and test product or system development code. • Collaborate with peers and stakeholders through design and code reviews to ensure best practices across available technologies, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality. • Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between techniques and application domains.

🏢 Summary: Lead the product strategy, roadmap, and launch of Gemini-based, agentic AI customer-support experiences for Google Cloud. The role combines enterprise technical expertise with product leadership to build unified, proactive, and autonomous support solutions and guide stakeholders on their adoption. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Systems, related technical field, or equivalent practical experience, 9 years of enterprise technical-role experience in technical solutions engineering, software engineering, or technical program management, 9 years of experience in at least two relevant technical domains, 6 years of customer troubleshooting and cloud technical-risk advocacy experience, Ability to read and write code in a general-purpose programming language or perform system design 📃 Skills: Java, C, C++, Python, Shell, Go, JavaScript, Kubernetes, Oracle, SAP, VMWare, Networking, Web, BigData, MachineLearning, SystemsAdministration, Cloud 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience. • 9 years of experience in a technical role, such as technical solutions engineer, software engineer, or technical program manager, providing enterprise-level support and workflows. • 9 years of experience with two or more of the following: Web Tech, Data/BigData, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP, VMWare. • 6 years of experience troubleshooting and advocating for customers, addressing Cloud technical risks. • Experience writing and reading code in a general-purpose coding language, such as Java, C, C++, Python, Shell, Go, or JavaScript, or experience in system design. Preferred qualifications • Experience using analytics and data to problem-solve, collaborate, and communicate with stakeholders. • Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products. • Experience launching successful products or services from conception to launch. • Experience developing and managing technical documentation, runbooks, or knowledge bases. About the job The Google Cloud Platform team helps customers transform and build what’s next for their business using cloud technology. Its products are developed for security, reliability, and scalability, running the full stack from infrastructure to applications, devices, and hardware. As a Product Technology Manager for Support on Gemini, you will define and execute the product strategy for a new generation of customer-support experiences, treating support as a product itself. You will bring agentic systems to life to deliver proactive and reactive customer support and help shape the GenAI-driven future of customer interaction and support. Responsibilities • Translate business objectives and requirements from systems program managers into a product idea, strategy, and roadmap for Support on Gemini, aligned with company objectives and customer needs. • Drive the conceptualization, development, and launch of innovative agentic AI systems for customer support, transforming support from fragmented and human-driven to unified, autonomous, and AI-driven. • Own product requirements for Cloud Support technical solutions and collaborate with GCBP, technology vendors, and GCP Product and Engineering to bring new support experiences and features to market. • Act as a subject-matter expert on technical knowledge for the support organization; provide technical guidance and training; and identify and advocate for capabilities and improvements based on support needs and data analysis. • Engage executive leadership and key stakeholders to communicate product strategy, progress, and results.

🏢 Summary: Product Manager role focused on defining and launching AI-powered Pixel mobile experiences. The position leads product strategy, on-device AI solutions, prototyping, and cross-functional delivery from concept through launch. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 3 years of product management or related technical experience, 1 year taking technical products from conception to launch, Experience integrating generative AI tools or LLM interfaces into workflows 📃 Skills: AI, LLM, Android, UX, UI, Software, Prototyping 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 3 years of experience in product management or a related technical role. • 1 year of experience taking technical products from conception to launch, such as ideation to execution or 0-to-1 work. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Master's degree in a technology- or business-related field. • 2 years of experience in a business function or role, such as strategic marketing, business operations, or consulting. • 2 years of experience preparing and delivering technical presentations to senior leadership. • 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 1 year of experience in software development or engineering. • Experience with Android mobile, device software, operating systems, or other foundational technology-stack components. About the job Guide products from conception to launch by connecting technical and business needs, breaking complex problems into actionable steps that drive product development. Work with engineers, designers, marketers, and other partners to design, develop, position, package, promote, and tailor solutions for users. The role supports the development of mobile experiences, bringing together artificial intelligence, software, and hardware to create smartphone experiences for users worldwide. Responsibilities • Define and execute the product strategy and roadmap for AI experiences, synthesizing multimodal signals into context-aware user suggestions. • Advance next-generation device pipelines to create frictionless user interactions. • Partner with engineering, UX, and privacy teams to architect secure, on-device processing solutions that address technical platform constraints. • Lead rapid prototyping and continuous testing using AI-assisted tools to independently validate concepts and user experiences. • Author product specifications that frame requirements around outcomes and success criteria and align specialized teams.