Drimva

Google

UX Designer, Human-Computer Interaction, DeepMind

$189K–$274K

Mountain View, CA, USA · Full-time · Posted Sep 30, 2026

Experience
8 years in product design or UX; preferred: 12 years in product design or UX, 5 years in a complex cross-functional organization, 4 years leading design projects, and 3 years working with executive leaders.
Education
Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, a related field, or equivalent practical experience.

About the job

Designs and tests human-AI interaction patterns and prototypes for Google DeepMind products, collaborating with engineering teams to translate concepts into technical proofs of concept and high-impact experiences.

What you'll do

  • Identify and develop UX patterns through targeted experiments grounded in human factors and user research.
  • Design interactive experiences and collaborate with engineers to build technical proofs of concept.
  • Support high-impact product launches and contribute to intellectual property, including patents and proprietary methodologies.

What they ask for

  • Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, a related field, or equivalent practical experience.
  • Experience in product design or UX.
  • Experience with user-centered design, usability principles, human factors, and field user research.
  • Experience with machine learning capabilities and limitations, human-AI collaboration workflows, and communicating designs through wireframes, storyboards, or interactive prototypes.

Nice to have

  • Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.
  • Experience in complex cross-functional organizations, design project leadership, executive collaboration, or defining interaction patterns in AIUX.

Pay

$189,000 - $274,000 (USD) base salary

Tools

AIUX, machine learning, wireframes, storyboards, interactive prototypes, UI components, design systems

AI focus

Designs human-AI collaboration workflows and explores interaction patterns for AI capabilities.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)