Research Scientist role focused on applying machine learning to discover novel Quantum Error Correction (QEC) codes for fault-tolerant quantum computing, specifically for superconducting qubits and high-connectivity platforms. The role involves developing large-scale automated discovery pipelines, optimizing codes for quantum processors, and contributing to the research community through publications and collaborations.

Google DeepMind is seeking a Frontier AI Research Scientist to push the boundaries of AI development, focusing on advancing AI for complex global challenges and product innovation. The role involves authoring research papers, defining research frameworks, identifying new research areas, and conducting experiments to evaluate research impact. The position requires a PhD and at least one scientific publication submission.

Research Scientist at Google Research focused on fundamental research and innovation in AI/ML, including machine learning, deep learning, data mining, NLP, and core search. The role involves setting up large-scale tests, deploying ideas, publishing findings, and contributing to the wider research community. Requires a PhD and experience leading research agendas with publication submissions.

Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI division, specifically powering business growth with Gemini Enterprise. The role involves taking ownership of AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. Collaboration with model builders and contribution to the research community through publications are also key aspects.

Research Scientist at Google DeepMind focused on advancing Gemini's capabilities in autonomous knowledge acquisition, reasoning, and retrieval. The role involves designing modeling innovations, improving retrieval architectures, building self-improving models, and collaborating with product teams to scale research into production. Emphasis on next-generation retrieval, multimodal representations, and autonomous reflection/self-improvement.

Research Scientist focused on security and privacy for AI models and agentic products, specifically Gemini. The role involves designing and evaluating novel defense mechanisms against adversarial attacks and prompt injections, translating research into practical solutions for training and inference pipelines, and collaborating with core modeling and engineering teams. The position requires a PhD and experience in ML research, benchmarking, and security, with a focus on next-generation security techniques for autonomous AI systems.

Research Engineer focused on inference-optimized model design for Gemini pretraining, working across the LLM preparation stack (pretraining, fine tuning, serving) and understanding JAX/TPU execution. Requires 5 years of experience in inference-optimized model design and experience with product teams.

Research Scientist role focused on developing new algorithms in AI for mathematics and theoretical research, with a focus on privacy and machine learning, and translating these insights into Google products. The role involves publishing research in top conferences.

Research Scientist focused on visual data and generative models, specifically for creating high-quality synthetic training data for foundation models. This involves designing data acquisition strategies, optimizing hardware, implementing fine-tuning methods, developing automated labeling pipelines, and creating evaluation datasets for visual quality issues.

Research Scientist role focused on developing Vision Language Action (VLA) models and agentic systems for physical robots, enabling them to perceive, plan, think, use tools, and act in real-world environments. The role involves training embodied reasoning VLMs, working with simulators and real robots, and advancing areas like general-purpose robotics, human-robot interaction, and continual learning.

Research Engineer at Google DeepMind focused on architecting, scaling, and landing latent thinking in Large Language Models (LLMs) and reasoning. The role involves developing novel algorithms, formulating research hypotheses, designing and implementing ML experiments, and partnering with teams to integrate scientific breakthroughs into frontier models. Experience in LLM training (pre-training or post-training) and publishing research is preferred.

Research Engineer focused on building and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves creating novel evaluations, red-teaming, implementing robust defenses, and monitoring risks, with a strong emphasis on agentic AI systems and adversarial robustness.

Research Engineer focused on developing monitoring and control systems for potentially misaligned AI agents to mitigate risks of extreme harms. This involves designing, building, and testing monitors, implementing response policies, and conducting adversarial testing. The role aims to prepare for the internal use of potentially misaligned AI systems by building defense-in-depth against AI that might persistently pursue unintended goals.

Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences.

Staff AI Research Engineer focused on architecting the strategy and roadmap for foundation recommender model pre-training. This role involves owning the research agenda, defining and prioritizing experiments for model quality under compute constraints, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks.

Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI team. The role involves applying AI/ML to conversational problems, working with Gemini Enterprise products, and contributing to the wider research community through publications. Responsibilities include owning AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation.

Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning.

Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings.

Staff Research Scientist at Google Cloud AI Research focusing on fundamental AI research, pushing the state-of-the-art, and collaborating with product teams to bring innovations to market. The role involves authoring research papers, defining research strategies, and contributing to the wider research community.

Senior Staff Research Scientist at Google Cloud AI Research focusing on fundamental research, new product innovation, and infrastructure goals within AI and Infrastructure. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products and technologies. It also includes contributing to the research community through publications and collaborations. The team works on hyperscale computing, AI models, and infrastructure at a global scale, contributing to products like Vertex AI. Responsibilities include authoring research papers, contributing to research growth, delivering full projects, identifying new research areas, and engaging stakeholders to address undefined problems.

Research Data Scientist role focused on applying ML, statistics, and Generative AI to cybersecurity problems within Google Cloud. The role involves developing and deploying innovative data-driven solutions, including agentic security operations and LLM tuning, with an emphasis on research and publication.

Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to intelligent systems for Google products. Responsibilities include authoring research papers, defining research solutions, conducting experiments, and developing research prototypes. Requires a PhD and publication record, with preferred experience in owning research agendas.

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.

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.

Research Data Scientist focused on evaluation and metrics for AI answers in Search Health, developing advanced ML/LLM methodologies to identify product opportunities and influence product/engineering directions.

Research Scientist role focused on developing and leading a health sensing roadmap for women's reproductive health, leveraging Google's hardware products, apps, and third-party integrations. The role involves driving new research ideas from conception through to production, collaborating with cross-functional teams, and publishing findings in top venues.

Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research to solve real-world, large-scale problems, with opportunities across various Google research teams.

Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems.

Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams.