Senior Model UX Designer, GeminiApp

About the job

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.

Qualifications

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.