Deepmind

Mountain View, California, USA
Total Offices: 2
1,218 Total Employees
Year Founded: 2010

Similar Companies Hiring

Artificial Intelligence • Machine Learning
3 Offices
200 Employees
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
4 Offices
918 Employees
AdTech • Artificial Intelligence • Digital Media • Marketing Tech • Social Media • Software • Generative AI
10 Offices
805 Employees
Jobs at Deepmind
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

16 Hours AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
Artificial Intelligence
Lead the design of AI-driven iOS experiences, collaborating with cross-functional teams to innovate user-centered solutions and elevate design standards.
18 Hours AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
The Director of UX will lead design strategy for the Gemini App, focusing on user onboarding, feature discovery, and product-led growth mechanisms, utilizing design expertise to enhance user experience.
18 Hours AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Seeking an experienced Software Engineer to enhance the Gemini application with a focus on quality and AI applications, implementing LLM systems and collaborating with cross-functional teams.
22 Hours AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
Artificial Intelligence
The Research Engineer will develop and deploy multimodal AI models, conduct applied research, and contribute to scalable infrastructure for understanding human likeness across modalities.
YesterdaySaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
Artificial Intelligence
The UX Program Manager will manage complex programs, collaborate with multidisciplinary teams, and ensure project objectives are met. Key responsibilities include program setup, risk management, and strategic communication.
YesterdaySaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Lead the motion design efforts for the GeminiApp UX team, conceptualizing innovative motion systems and collaborating with engineering for integration.
YesterdaySaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Lead the design strategy for the Gemini App, focusing on user experience, performance engineering, and AI-augmented tooling, while mentoring teams.
2 Days AgoSaved
Easy Apply
In-Office
4 Locations
Easy Apply
Artificial Intelligence
This role involves leading the development of AI-driven solutions for micro-businesses, integrating various tools and ensuring user-friendly designs while defining product vision and strategy.
2 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
The Director of Product Management will lead product strategy for robotics, drive product roadmap execution, and enhance AI integration in robotic systems.
3 Days AgoSaved
Easy Apply
In-Office
3 Locations
Easy Apply
Artificial Intelligence
The researcher will monitor AI trends, prepare leadership briefings, propose research projects on AI governance, and foster collaborations across teams.
4 Days AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
Artificial Intelligence
Lead design initiatives for AI experiences on mobile apps, collaborating cross-functionally to create user-centered, innovative designs. Drive impactful user experiences by understanding diverse user needs and translating insights into actionable design solutions.
4 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
The Technical Program Manager will oversee product launches, manage cross-team dependencies, enhance user engagement, and develop product metrics for Antigravity at Google DeepMind.
4 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Design user interfaces for AI products, lead design processes from concept to shipping, and collaborate with cross-functional teams to create intuitive experiences. Focus on ethical design and innovative solutions for AI-powered hardware interactions.
4 Days AgoSaved
Easy Apply
In-Office
3 Locations
Easy Apply
Artificial Intelligence
Design intuitive user experiences for Gemini AI, collaborating with engineers and product managers, and creating visually compelling interfaces and interactions.
4 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Apply research ideas to real-world problems: prototype models, curate datasets, train and optimize generative (image/video/audio) and multimodal models, improve inference efficiency, and deploy solutions while collaborating across teams.
4 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Lead initiatives across Modeling, Data, Evaluations, and User Signals, managing data lifecycle and collaborating with research teams to enhance AI models.
4 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Lead data scientist role focused on developing data-driven product strategies, analyzing complex datasets, and deploying machine learning models to enhance user experience on the GeminiApp team.
5 Days AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
Artificial Intelligence
The Research Engineer will drive multimodal information quality research, develop algorithms, collaborate on projects, and publish findings, focusing on media integrity and AI tools.
6 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
The Senior Technical Program Manager will lead strategic initiatives for GeminiApp, driving user-centric programs, managing complex dependencies, and collaborating across teams to achieve business goals in AI development.
6 Days AgoSaved
Easy Apply
In-Office
Mountain View, CA, USA
Easy Apply
Artificial Intelligence
Lead research translating psychological and developmental science into practical AI safety guidelines. Design evaluations, red‑teaming artifacts, and metrics; identify psychological risks to children; collaborate with ML engineers and product teams to embed safeguards across the model development lifecycle.