UX Researcher (AI)

TL;DR

UX Researcher (AI): Exploring 0→1 breakthrough experiences in generative AI to define the next frontier and demonstrate to executives with an accent on strategic research guidance and user-centered innovation. Focus on designing flexible research studies, validating hypotheses through rapid prototyping, and providing actionable insights that influence product strategy.

London, UK (onsite in hirify.global offices)

Company

Team of scientists, engineers, and ML experts advancing AI for public benefit, scientific discovery, safety, and ethics.

What you will do

• Partner with multidisciplinary teams to identify research questions and provide strategic guidance for breakthrough AI experiences.
• Design, lead, and execute flexible research studies from foundational to experimental methods.
• Stay ahead of AI products through tool use, experimentation, and aligning technical capabilities with user needs.
• Drive big ideas forward, rapidly iterate on prototypes, and deliver actionable insights influencing product strategy.
• Collaborate cross-functionally to meet exploration milestones and embody AIUX culture.

Requirements

• Background in Computer Science, HCI, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related (or 4+ years relevant experience).
• Experience with research design using methods like in-depth interviews, concept research, field research, usability studies, surveys.
• Passion for AI benefiting humanity, including underserved communities.
• Strong communication skills to articulate positions and advocate for research & design.
• Collaborative mindset for sharing works-in-progress.
• Demonstrated impact on product strategy and experience with latest AI tools/models.
• Basic understanding of AI and ML technologies; comfort with speed and directional insights.

Nice to have

• Experience directing field research with agencies or groups.
• Global market research experience.
• Creating influential research outputs like multimedia stories or video editing.
• Pathfinding on innovation teams, experimenting in ambiguous spaces.
• Experience in marketing, data science, GTM, operations for wearing multiple hats.

Culture & Benefits

• Multidisciplinary, cross-functional teams focused on people-first AI solutions.
• Emphasis on operational excellence, rapid iteration, and scrappy early-stage projects.
• Value diversity of experience, knowledge, and perspectives for extraordinary impact.
• Commitment to equal opportunity and accommodations for disabilities.