Career
MODA Vi Career Opportunities
Join MODA Vi's mission to build intentional economic infrastructure within cities—neighborhood by neighborhood, network by network. We're seeking researchers, engineers, and emerging professionals committed to reshaping the economic architecture of cities from the inside out.
MODA Vi Fellowships
Applied Research in Civic Infrastructure & Urban Economic Design
The MODA Vi Fellowship supports early- and mid-career researchers working at the intersection of urban economics, civic trust, and systems design. Fellows contribute directly to MODA Vi's mission and engage with real actors—teachers, pastors, artists, and organizers—who form the core of our Civic Partner network.
Core Research Themes
- • Urban economic behavior in community institutions
- • The conversion of social capital into economic capital
- • Civic trust, institutional memory, and informal governance
- • Spatial and relational design of local economies
- • Narrative economics in city-based commerce
Eligibility Requirements
Applicants must meet at least one of the following:
- • Ph.D. or J.D. in economics, sociology, anthropology, political science, urban planning, public policy, or related discipline
- • Master's degree plus 5+ years of applied field or policy research focused on urban systems
- • Public or academic portfolio demonstrating original thinking in community-led economics
- • Demonstrated experience in qualitative or mixed-method research
Fellowship Structure
Term: 6 or 12 months
Compensation: Competitive stipend based on experience
Location: Remote-flexible with required site visits to MODA Vi cities (U.S.)
Outputs: Internal memos, field studies, policy briefs, white papers
Full Stack Software Engineer
Building Full-Stack Systems for Civic Innovation
MODA Vi seeks a Full Stack Software Engineer to support the development of software systems for civic innovation. This role is ideal for an engineer with strong technical fundamentals and an interest in civic innovation, network design, or institutional technology.
Key Responsibilities
- • Develop full-stack software systems supporting identity, access, and verification protocols
- • Build and refine data pipelines tracking community-driven economic behavior across cities
- • Design and implement distributed systems for scalable civic infrastructure across multiple cities
- • Integrate AI/ML models for behavioral analytics and predictive civic engagement insights
- • Collaborate with cross-disciplinary teams to translate system needs into scalable code
- • Contribute to lightweight tools for community institutions and local networks
- • Support architecture and documentation of MODA Vi's civic technology stack
Required Qualifications
- • Proficiency in modern programming languages (Python, JavaScript/TypeScript, or Go)
- • Experience with full-stack frameworks (Django, Flask, React, Next.js)
- • Solid understanding of relational databases, APIs, and cloud architecture
- • Familiarity with DevOps practices, version control, and CI/CD pipelines
- • Basic exposure to machine learning libraries (scikit-learn, TensorFlow, or PyTorch)
- • Strong written and technical communication skills
- • Disciplined, systems-oriented approach to development
Position Details
Location: Remote-flexible (U.S.-based preferred)
Type: Full-time, salaried
Compensation: Competitive with mission-aligned benefits
Start: Rolling basis
AI/ML Engineer
Designing AI/ML Models for Urban Economic Behavior Analysis
MODA Vi seeks an AI/ML Engineer to support the development of machine learning models for urban economic behavior analysis. This role is ideal for an engineer with strong technical fundamentals and an interest in civic innovation, network design, or institutional technology.
Key Responsibilities
- • Design and implement machine learning models for urban economic behavior analysis
- • Develop predictive algorithms for civic engagement and community trust metrics
- • Build recommendation systems for optimal civic partner matching and resource allocation
- • Create natural language processing tools for analyzing community feedback and sentiment
- • Collaborate with researchers to translate economic theories into computational models
- • Optimize model performance and deploy ML solutions in production environments
- • Develop agentic systems for internal operations
Required Qualifications
- • Advanced degree in Computer Science, Data Science, or related field
- • 3+ years experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- • Proficiency in Python and statistical analysis libraries (pandas, numpy, scipy)
- • Experience with MLOps tools and model deployment pipelines
- • Strong understanding of statistical methods and experimental design
- • Experience with time series analysis and behavioral modeling preferred
- • Excellent communication skills for cross-functional collaboration
- • Experience engineering agentic systems and up to date knowlege of latest LLM standards
Position Details
Location: Remote-flexible (U.S.-based preferred)
Type: Full-time, salaried
Compensation: Competitive with equity and benefits
Start: Rolling basis
Data Analyst
Analyzing Community Economic Behavior Patterns
MODA Vi seeks a Data Analyst to support the analysis of community economic behavior patterns across MODA Vi's active cities. This role is ideal for an analyst with strong data analysis skills and an interest in urban economics or public policy.
Key Responsibilities
- • Analyze community economic behavior patterns across MODA Vi's active cities
- • Create dashboards and visualizations tracking civic partner program effectiveness
- • Conduct statistical analysis on trust-building and economic circulation metrics
- • Support research team with quantitative analysis for policy briefs and white papers
- • Design and implement data collection protocols for field studies
- • Collaborate with external researchers on academic publications and reports
Required Qualifications
- • Bachelor's degree in Statistics, Economics, Data Science, or related field
- • 2+ years experience with data analysis tools (Python, R, SQL)
- • Proficiency in data visualization tools (Tableau, matplotlib, plotly)
- • Strong statistical analysis skills and experience with A/B testing
- • Experience with survey design and qualitative data analysis
- • Knowledge of urban economics or public policy preferred
- • Excellent written communication and presentation skills
Position Details
Location: Remote-flexible (U.S.-based preferred)
Type: Full-time, salaried
Compensation: Competitive with professional development budget
Start: Rolling basis
Internship Program
Civic Innovation Fellowship for Students
MODA Vi offers a structured internship program for undergraduate and graduate students interested in civic innovation, urban economics, and community-driven technology. This program provides hands-on experience with real-world projects while contributing to meaningful civic outcomes.
Application Philosophy
MODA Vi hires for precision, intent, and long-term alignment. We welcome applicants from both academic and nontraditional backgrounds.
Ideal Candidates
- • Currently enrolled in or recently graduated from programs in economics, sociology, political science, urban studies, design, or computer science
- • Strong writing, research, or technical skills
- • Demonstrated interest in cities, systems, or public impact
- • Curious, disciplined, and eager to work in a cross-functional team
Internship Details
Location: Remote-flexible
Term: 10–12 weeks (summer, fall, or custom term)
Compensation: Paid stipend
Time Commitment: ~15–20 hours/week