Staff UX Researcher, GeminiApp, DeepMind

🏢 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: Product management role focused on guiding Search products from conception through launch and improving information access for users worldwide. The position partners with engineering, UX, marketing, legal, and other teams to solve complex product and infrastructure challenges, launch features, and iterate based on performance. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of product management or related technical experience, 3 years taking technical products from conception to launch 📃 Skills: Accessibility, Software 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or related technical role. • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1). Preferred qualifications • Master’s degree or PhD in a technology- or business-related field. • 5 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 5 years of experience in a business function or role, such as marketing, business operations, or consulting. • 4 years of experience preparing and delivering technical presentations to executive leadership. • 3 years of experience in software development or engineering. • Knowledge of, or continued interest in, accessibility best practices and experience or curiosity in incorporating accessibility into product development methodologies. About the job Work cross-functionally to guide products from conception to launch, connecting technical and business priorities. Break down complex problems into actionable steps that drive product development. The role supports the design and development of technologies that improve access to information. Responsibilities span the product execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. The Search team is reimagining how people search for information across contexts and devices. The work involves solving complex engineering challenges, expanding infrastructure, and maintaining an accessible, useful experience relied on by people globally. Responsibilities • Understand markets, competition, and user requirements in depth. • Launch new products and features, test performance, and iterate quickly. • Collaborate with engineering, marketing, legal, UX, and other teams on technologies. • Develop solutions by collaborating across regions, product areas, and functions as needed.

🏢 Summary: Lead technical engagement at the intersection of frontier AI model development and public policy, translating model roadmaps into regulatory and advocacy strategies. Partner with research, engineering, policy, regulatory, product, and operations teams to address emerging requirements around training data, transparency, safety, security, copyright, and deployment. 🗂️ Requirements: Bachelor’s degree in Computer Science, Data Science, Machine Learning, Law, Public Policy, or equivalent practical experience, 8+ years in technical product, engineering, research, policy, or regulatory-facing roles, Experience with foundational-model development lifecycles, Experience with model capabilities, training-data architectures, evaluation, and deployment, Experience collaborating with cross-functional teams in technical engineering or research organizations 📃 Skills: AI, GenAI, MachineLearning, FoundationalModels, ModelEvaluation, ModelDeployment, TrainingData, DataArchitecture, Regulation, PublicPolicy, Copyright, Safety, Security 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, Data Science, Machine Learning, Law, Public Policy, or equivalent practical experience. • 8 years of experience in either technical product, engineering, researcher roles, or policy/regulatory-facing roles. • Experience with foundational model development lifecycles, model capabilities, training data architectures, and model evaluation and deployment. • Experience working with cross-functional teams in technical engineering or research organizations. Preferred qualifications • Advanced degree in a technical discipline or public policy. • Experience designing, leading, or implementing high-stakes, complex projects from the ground up. • Experience engaging with regulators and policymakers on issues central to AI model development, including data use, model architecture, safety, security, and compute. • Track record of strong contributions to AI model development as a technologist, researcher, public policy manager, or communications specialist. About the job The GenAI Technical Engagement team translates complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts. The role works collaboratively with cross-functional partners to advance actionable advocacy approaches that align public policy efforts with frontier model development and deployment. You will work across research, engineering, public policy, regulatory, product, and operations teams to anticipate emerging regulations related to AI model development, training data, copyright, safety, and security, and align them with technical and model roadmaps. As a technical subject matter expert, you will collaborate with public policy, regulatory, and frontier AI model-development teams to identify technical needs and goals, guide advocacy strategies early, co-design policy playbooks, and develop external responses to emerging regulations that support model development and deployment objectives. Responsibilities • Bridge AI development and regulation by translating complex AI model-development plans into actionable public policy responses co-designed with internal teams. • Steer cross-functional advocacy by partnering with teams managing public policy responses so advocacy frameworks and playbooks evolve alongside model-development roadmaps. • Advise senior management on emerging regulatory developments, their impact, and recommended solutions based on model-development plans. • Serve as a technical subject matter expert for policy and regulatory teams, guiding internal teams and public policymakers on AI topics such as training-data disclosures and model transparency. • Establish metrics to measure the success and impact of advocacy campaigns on the model-development roadmap and generate insights to optimize campaigns.

🏢 Summary: Senior product design opportunity focused on creating natural, efficient user experiences for Gemini and AI-powered conversational products. The role partners with cross-functional teams to translate user, technical, and business needs into polished, systems-oriented design solutions. Compensation includes a US base salary of $188,000–$274,000, a 20% target bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree in Design, Human-Computer Interaction, Computer Science, related field, or equivalent practical experience, 8 years of user-interface design experience for software applications, Experience designing conversational products, Portfolio, website, or other work sample link included with resume 📃 Skills: UI, Conversational, AI, HCI 🏢 Description: Minimum qualifications • Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. • 8 years of experience designing user interfaces for software applications. • Experience in designing for conversational products. • Include a portfolio, website, or any other relevant link to your work in your resume, providing a viewable link or access instructions. Preferred qualifications • Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products. • Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness. • Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data. • Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners. • Demonstrated expertise in designing intuitive interactions for AI-driven products. About the job We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits Responsibilities • Design user experiences for Gemini, ensuring natural and efficient interaction within your specific product area. • Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes. • Translate user needs, technical understanding, and business requirements into polished design solutions by deeply understanding human factors (physical, social, and cultural) and situational contexts. • Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

🏢 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.

🏢 Summary: Lead the strategy, roadmap, and end-to-end delivery of technical products that serve millions of users. The role owns product requirements, market validation, product goals, and performance metrics while leading cross-functional teams. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 10 years of product management or related technical experience, 5 years taking technical products from conception to launch, 5 years of people management and technical leadership 📃 Skills: Product-management, MarTech, eCommerce, UX/UI, Analytics, Roadmapping, Metrics 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 10 years of experience in product management or a related technical role. • 5 years of experience taking technical products from conception to launch (for example, ideation to execution, end-to-end, or 0 to 1). • 5 years of people-management experience with technical leadership. Preferred qualifications • Master's degree in a technology- or business-related field. • 7 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 5 years of experience preparing and delivering technical presentations to executive leadership. • Experience building and deploying Marketing Technology (MarTech) products. • Experience in eCommerce. • Experience in an enterprise customer-facing role. Description Work cross-functionally to guide products from conception to launch, connecting technical and business perspectives. Break down complex problems into actionable steps that drive product development. The Product Management team works closely with engineers, designers, and marketers to design and develop technologies that improve access to the world's information. The role guides products throughout the execution cycle, with responsibility for analyzing, positioning, packaging, promoting, and tailoring solutions to users. Responsibilities • Own Product Requirement Documents (PRDs), overseeing collaboration with partner teams such as engineers, PgMs, and UX during product design. • Own and oversee the definition of product roadmaps. • Develop and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction. • Oversee validation of market size and opportunity, including user-based, opportunity, and business assessments. • Lead the team in defining, identifying, collecting, and tracking appropriate quantitative and qualitative product or business metrics for new or existing products or business ventures. Benefits • Benefits available at Google.

🏢 Summary: Opportunity to build and deploy ML and LLM-powered automation for keywordless Google Search Ads products. The role focuses on improving ad relevance, query understanding, and large-scale optimization while solving complex engineering problems that affect advertisers and users globally. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of Python or C++ programming experience, 1 year of experience in generative AI, reinforcement learning, large language modeling, model processing, or another ML specialization, 1 year of end-to-end machine learning experience, including deployment, evaluation, data processing, or debugging 📃 Skills: Python, C++, AI, ML, LLM, Deployment, Evaluation, Debugging, Algorithms 🏢 Description: Minimum Qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in Python or C++. • 1 year of experience with one or more of the following: generative AI, reinforcement learning (e.g., sequential decision making), large language modeling, model processing, or specialization in another ML field. • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications • Master’s degree or PhD in Computer Science or related technical fields. • 2 years of experience with data structures and algorithms. • Experience developing accessible technologies. Description The team builds AI-powered automation for Search Ads. Keywordless Search Ads supports products including Dynamic Search Ads, AI Max, Performance Max (PMax), and Smart Campaigns, helping advertisers connect with users effectively and efficiently. Keywordless Ads is a search-ads automation system that delivers highly relevant ads to users with minimal effort from advertisers. The role involves solving open-ended problems in a changing environment and directly impacting advertisers and users worldwide. Responsibilities • Write product or system development code. • Develop and deploy new ML/LLM models to directly impact Google, advertisers, and users. • Manage complex, open-ended engineering problems related to ad relevance, query understanding, and large-scale system optimization. • 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. • Implement solutions in one or more specialized ML areas, use ML infrastructure, and contribute to model optimization and data processing.

🏢 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: Product Manager role for Google Ads, guiding advertising products from concept through launch and iteration. The position partners with engineering, UX, marketing, legal, and other teams to develop solutions that help publishers and advertisers succeed across Google’s advertising network. 🗂️ 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 📃 Skills: Product, Management, Accessibility, Engineering 🏢 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 through execution or 0-to-1 development. Preferred qualifications • Master’s degree or PhD 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. • Knowledge of, or continued interest in, accessibility best practices and incorporating accessibility into product development methodologies. About the job Product Managers guide products from conception to launch by connecting technical and business needs and breaking complex problems into steps that drive product development. The Product Management team works closely with engineers, designers, marketers, and other partners to design and develop technologies that improve access to the world’s information. The team guides products throughout the execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. As a Product Manager for Google Ads, you will support businesses running search, display, and video campaigns on Google and its advertising network. You will explore, develop, and apply state-of-the-art technologies to help publishers generate business through their content and help advertisers acquire engaged users. Responsibilities • Understand markets, competition, and user requirements in depth. • Launch new products and features, test performance, and iterate quickly. • Collaborate with engineering, marketing, legal, UX, and other teams on cutting-edge technologies. • Develop solutions by collaborating across regions, product areas, and functions as needed.