Google DeepMind

Google DeepMind

https://deepmind.google/

Open positions (9)

Research Engineer, Materials Science

2mo ago
Google DeepMind

Google DeepMind

Google DeepMind is seeking a Research Engineer to join their materials science team. This role involves accelerating the discovery of new functional materials by integrating artificial intelligence, computational simulation, and automated experimentation. You will collaborate with a diverse interdisciplinary team of domain experts, ML researchers, and engineers. The work focuses on pioneering research in various scientific domains, enabling the validation of early ideas and building infrastructure for promising research lines. You will contribute your scientific domain knowledge to the team's collective expertise.

$141k - $202k

Mountain View, California, US onsite
PyTorchTensorFlowDeep Learning +2 more

Research Engineer, Multimodal Reasoning For Information Literacy

2mo ago
Google DeepMind

Google DeepMind

Google DeepMind's research team is dedicated to tackling complex challenges in online information quality, advancing the state of the art by developing innovative solutions to detect manipulated media and misleading narratives. The team leverages interdisciplinary work spanning provenance analysis and the creation of tools for AI-assisted information literacy, with a focus on ensuring the integrity of digital discourse and a safer online environment. This role involves researching and building multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media on the internet, with a passion for advancing information literacy using machine learning and computational techniques.

Mountain View, California, US onsite
PythonPrompt EngineeringPyTorch +5 more

Staff AI Product Designer, Gemini Assistant, GeminiApp

4mo ago
Google DeepMind

Google DeepMind

The Gemini App Design team is building the Gemini Universal Assistant, a conversational AI designed to help users worldwide collaborate with generative AI for imagination, curiosity, and productivity. This role is instrumental in developing innovative ways for people to accomplish tasks and enrich their lives, focusing on creating world-leading generative AI experiences. At Google DeepMind, the mission is to unlock state-of-the-art AI capabilities across Alphabet, aiming for positive impact and magical product experiences for billions of users. The Integrated Assistance team specifically focuses on making Gemini a personalized universal assistant integrated across devices and apps, unlocking generative AI experiences through deep OS and app integrations. This team guides users to understand the value of generative AI, including capabilities beyond the full-screen app, and partners with design, research, and modeling teams globally.

Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US onsite
JavaScriptNLPGemini

Distinguished Designer, Gemini App Systems

4mo ago
Google DeepMind

Google DeepMind

At Google DeepMind, we're advancing the state of the art in artificial intelligence, using our technologies for public benefit and scientific discovery. The Gemini App is at the forefront of the AI revolution, bringing generative AI experiences to users globally. We are seeking a visionary Design Leader to define the future of our product. In this critical role, you will be responsible for defining and visioning the user experience, driving design excellence, and fostering a culture of innovation across Gemini. You will work closely with product management, engineering, and research teams to deliver an intuitive, powerful, and aesthetically pleasing experience for users worldwide.

Mountain View, California, US onsite
Gemini

Staff AI Product Designer, Growth & Discovery, GeminiApp

4mo ago
Google DeepMind

Google DeepMind

At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer focusing on our Growth and Discovery initiatives. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential. You will play a crucial role in shaping the future of how people interact with AI, involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.

Mountain View, California, US; San Francisco, California, US onsite
JavaScriptNLPGemini

Research Scientist, Multimodal Alignment, Safety, and Fairness

4mo ago
Google DeepMind

Google DeepMind

Google DeepMind's Frontier AI unit is seeking experienced Research Scientists to join a multimodal safety research effort. This role focuses on interdisciplinary sociotechnical modeling and requires a passion for understanding AI-society interactions, a strong awareness of AI alignment and safety, and a drive to develop novel ideas, methods, interfaces, and tools. You will contribute to advancing the state of the art in AI research and Google DeepMind's mission towards Artificial General Intelligence (AGI), with a focus on leading new breakthrough research directions in areas like AI behavior exploration, assessment, and steering, particularly for subjective and creative tasks. The work involves tackling fundamental research questions to improve alignment objectives, assess adherence to desired behaviors, and enable AI agents to monitor real-world social context and evolve system behaviors over long time-horizons. You will develop new paradigms for human+AI rating that are adaptive and context-aware, driving breakthroughs within Google DeepMind, Google products, and the broader AI alignment community.

Kirkland, Washington, US; Mountain View, California, US; New York City, New York, US onsite
PythonAI AgentsFine-Tuning +5 more

Research Scientist, Gemini Safety

4mo ago
Google DeepMind

Google DeepMind

The Gemini Safety team at Google DeepMind is responsible for the safety and fairness of the latest Gemini models. As a Research Scientist/Engineer, you will apply and develop cutting-edge data and algorithmic solutions to advance these user-facing models. This is a fast-paced, highly collaborative role within a supportive team dedicated to pushing the boundaries of AI for public benefit and scientific discovery, with safety and ethics as the highest priorities.

Mountain View, California, US onsite
Fine-TuningReinforcement LearningJAX +1 more

Staff AI Product Designer, Gemini Assistant

5mo ago
Google DeepMind

Google DeepMind

The Gemini App Design team is instrumental in building the Gemini Universal Assistant, a conversational AI designed to help people collaborate with generative AI for imagination, curiosity, and productivity. We are building innovative ways for people to get things done and enrich their lives, with a dedicated team focused on developing the world's most useful generative AI experiences. At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities, creating positive impact and magical product experiences for billions of users. We are a world-leading AI research company pushing the boundaries of AI, committed to developing AI responsibly and ethically in a collaborative and inclusive environment.

Mountain View, California, US; New York City, New York, US; Seattle, Washington, US onsite
JavaScriptNLPGemini

Tech Strategy Director, Compute, Google DeepMind

6mo ago
Google DeepMind

Google DeepMind

This is a critical and high-impact strategic leadership role within Google DeepMind’s Technology Strategy (TechStrat) function, specifically on the Compute team. The role will drive AI strategy, infrastructure investments, and AI product portfolio optimization across Google. As compute is a key ingredient for AI model leadership, serving success, and next-generation research, this leader will make high-impact decisions that will define Google's success and influence the future of AI globally. The position involves framing key strategic decisions for senior leadership based on deep analysis of AI investments, optimization options, industry understanding, financial modeling, and product strategy. The goal is to maximize product and AI impact for Google and humanity, ensuring strategies are executed flawlessly through cross-functional partnerships.

Mountain View, California, US onsite
Embeddings

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