This role involves driving AI strategy and infrastructure investments at Google DeepMind, overseeing high-stakes decisions that shape Google's AI product portfolio and future.

As a Research Engineer, you'll develop personalized features using Gemini models, analyze user data, propose quality improvements, and collaborate closely with cross-functional teams.

As an iOS/Swift Engineer, you will design and develop innovative AI features for the Gemini app, collaborate with teams, enforce coding standards, and ensure seamless user experiences.

Design and manage the architecture of next-generation System-on-Chip for ML accelerators, ensuring optimal integration and performance trade-offs.

The Principal Research Engineer will lead the development of data evaluation frameworks for AI models, focusing on safety, performance, and ethical alignment, while mentoring engineers and researchers.

Responsible for supporting analytical frameworks for decision-making at Google DeepMind, conducting investigations, modeling scenarios, and facilitating cross-functional partnerships.

The AI Product Designer will collaborate with engineers and researchers to create user-centered AI experiences and media generation tools, focusing on intuitive design and cross-functional product strategy.

The Research Scientist will develop new recommendation system technologies using LLMs, conduct research, build prototypes, and collaborate with product teams to implement solutions.

The Software Engineer will develop and prototype AI products using Gemini models, collaborating with teams to translate research into tangible features, leveraging full-stack engineering skills.

As a Software Engineer for Google's AI Studio, you will design and develop iOS mobile applications, focusing on AI-powered software and rapid prototyping. Collaboration with product managers and UX for innovative solutions is key in this fast-paced environment.

As a Technical Program Manager, you'll lead cross-functional programs in AI/machine learning, focusing on delivery, relationship-building, and process improvement.

As a Senior Data Scientist at GeminiApp, you'll collaborate on product strategies, analyze complex datasets, develop metrics, and build models to enhance user experience.

Manage the financial health of the Robotics team, including budgets, forecasts, and operational tracking while ensuring compliance and governance.

As a Senior ML Software Engineer, you will lead the full-stack implementation, drive the integration of advanced features, and collaborate on AI technologies at Gemini impactfully.

As a Senior Software Engineer for Google's Gemini App, you will enhance user experience, implement full-stack solutions, and collaborate on AI developments.

Lead the design of high-performance datacenter and server systems, ensuring seamless integration of hardware and software, with a focus on innovative solutions and large-scale implementation.

The Software Engineer, Numerics will decide on precision, numerics, and sparsity formats for Gemini models, influencing architecture and driving research advancements into production.

Lead the development of software applications using generative AI models, manage engineering teams, and drive product impact through collaboration and mentorship.

The role involves optimizing RL infrastructure performance, managing reliability roadmaps, and coordinating with engineering teams on project execution and communication.

The Product Manager will define the vision for AI integration across devices, lead product development, and ensure user-centric design and implementation of emerging AI technologies.