Senior Model UX Designer, GeminiApp, DeepMind

Socket.dev; Mountain View (CA); On-site; USD 160,000 - 231,000; Full time

Job summary

Google DeepMind in the United States is seeking a senior AI product designer to help shape multimodal experiences through prompt engineering and personalization. You will collaborate with AI product designers to craft strategies, evaluate model performance, and design intuitive UX for context, memory, and user preferences.

Join a pioneering AI lab focused on safety, ethics, and impact, working across interdisciplinary teams to deliver high-quality product experiences for billions of users.

Qualifications

• Bachelor's degree in cognitive science, HCI, linguistics, or related field.
• 6 years of experience in conversation design/content design for conversational AI/LLMs or adaptive, personalized systems.

Responsibilities

• Apply deep understanding of model capabilities to guide prompt engineering and prototyping strategies, ensuring the delivery of consistently high-quality, context-aware and personalized model outputs.
• Initiate qualitative assessments of model performance, applying mastery of the eval process to develop a strategy for continuous quality hillclimbing to improve personalization experiences across the app.
• Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses and UI components work in concert to deliver cohesive, high quality experiences.
• Develop system instructions for intuitive UX patterns and user controls for context, user preferences, and memory.
• Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.

Skills

Conversation design

Content design

Conversational AI

Education

Bachelor's degree in Cognitive Science / HCI / Linguistics

Tools

Figma

Job description

Minimum qualifications:

• Bachelor's degree in Cognitive Science, Human-Computer Interaction (HCI), Linguistics, a related field, or equivalent practical experience.
• 6 years of experience in conversation design, content design, with equivalent experience designing for conversational AI/LLMs or adaptive, personalized systems.

Preferred qualifications:

• Experience in vibe-coding and developing AI-powered prototypes.
• Demonstrated experience growing in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness to deliver impactful designs in a changing, evolving landscape.
• Proficiency in Figma.
• Familiarity with behavioral data and strong capability to create data-driven yet personalized designs, while being equally capable of moving forward in the absence of data.
• Excellent communication and collaboration skills with the ability to articulate positions, and tests partners with new product design thinking.

About the job:

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

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: $160,000 - $231,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Apply deep understanding of model capabilities to guide prompt engineering and prototyping strategies, ensuring the delivery of consistently high-quality, context-aware and personalized model outputs.
• Initiate qualitative assessments of model performance, applying mastery of the eval process to develop a strategy for continuous quality hillclimbing to improve personalization experiences across the app.
• Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses and UI components work in concert to deliver cohesive, high quality experiences.
• Develop system instructions for intuitive UX patterns and user controls for context, user preferences, and memory.
• Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.