The company is looking to develop a hands-on understanding of how people and AI can work together most effectively to drive AI-driven transformation and elicit insights.
Requirements
- Experience with field studies, productivity research, or real-world experimentation
- Background in business, economics, or computer science, with a focus on productivity, HCI, or applied research
- Experience with quantitative analysis and research methods
Responsibilities
- Conduct field studies to observe and analyze human-AI collaboration
- Design and prototype new methods for integrating AI into workflows
- Run quantitative analyses to evaluate interaction patterns and effectiveness
- Translate research findings into recommendations for model development and deployment
Other
- Collaborate closely with researchers, engineers, and external partners
- Navigate ambiguity to define the right problems to solve
- Blend qualitative insight with quantitative rigor in your work
- Relocation assistance to new employees
- Hybrid work model of 3 days in the office per week
- US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records