Engineer /Developer - Data/AI (BI + Machine Learning)
Top Benefits
About the role
🚀 Data/AI Engineer (BI + Machine Learning)
💰 Compensation: Unpaid (First 3 Months) → Equity / Co-Founder Track
📍 Remote | Flexible Hours | Founding Team
About the Role
We’re an early-stage startup building a mobile-first, geo-centric platform for real-world collaboration. Our MVP is already underway with strong backend and iOS foundations. The next critical step is making sure we capture, structure, and analyze our data effectively , while also exploring AI-driven optimization for matching, trust, and personalization.
We’re looking for a Data/AI Engineer who can own everything from data pipelines and BI dashboards to ML prototyping and optimization algorithms . This is a high-autonomy, high-impact role for someone who loves working across data, product, and AI.
What You’ll Do
- Design and maintain data pipelines from backend systems (Postgres, Redis, Firebase) into analytics and reporting layers.
- Build dashboards and reports (Metabase, Looker, Tableau, or similar) to monitor platform KPIs such as performance, efficiency, and user engagement.
- Model and optimize geospatial queries (PostGIS, Redis GEO) to support location-based functionality at scale.
- Prototype AI/ML algorithms for:
- Ranking and prioritization tasks
- Route optimization and efficiency scoring
- Trust scoring, anomaly detection, and risk modeling
- Collaborate with the backend team to instrument APIs for analytics and ML-ready data collection.
- Document findings, experiments, and recommendations to guide product and technical decisions .
- Help establish the groundwork for future ML pipelines (training, deployment, monitoring).
You’re a Great Fit If You:
- Have 5+ years of experience in data engineering, BI, or applied machine learning.
- Strong in SQL/Postgres (ideally with PostGIS), data modeling, and pipelines.
- Comfortable with Redis and real-time event systems.
- Hands-on with Python (Pandas, scikit-learn, PyTorch/TensorFlow) .
- Able to build quick dashboards (Metabase, Looker, Power BI, or Firebase Analytics).
- Familiar with routing/geospatial data or excited to learn.
- Understand ranking/recommendation models and event-driven architecture.
- Thrive in a startup environment : independent, resourceful, execution-focused.
Compensation
- First 3 months: Unpaid, flexible contributor role (mentorship-driven).
- After 3 months: Equity-based role, based on performance and contribution.
- Future: Salary + equity once funding/revenue milestones are achieved.
Why Join?
- Be the first data/AI engineer on the team — own data strategy end to end.
- Influence the product roadmap with data-driven insights and ML prototypes .
- Build a real-world system where your work directly impacts people’s lives.
- Work fully remote, async, outcome-driven .
- Gain equity and long-term upside in a purpose-driven company.
How to Apply
Send your GitHub/portfolio/LinkedIn and a short note about your experience with data + AI. If you have past projects related to geospatial data, matching, or optimization, we’d love to see them.
About FutureNexus Labs Inc.
FutureNexus Labs Inc. pioneers innovative solutions at the intersection of technology, research, and collaboration. We drive forward-thinking initiatives, leveraging cutting-edge technologies to shape a brighter tomorrow. Through our interdisciplinary approach, we create meaningful connections and transformative impact in today's rapidly evolving landscape.
Engineer /Developer - Data/AI (BI + Machine Learning)
Top Benefits
About the role
🚀 Data/AI Engineer (BI + Machine Learning)
💰 Compensation: Unpaid (First 3 Months) → Equity / Co-Founder Track
📍 Remote | Flexible Hours | Founding Team
About the Role
We’re an early-stage startup building a mobile-first, geo-centric platform for real-world collaboration. Our MVP is already underway with strong backend and iOS foundations. The next critical step is making sure we capture, structure, and analyze our data effectively , while also exploring AI-driven optimization for matching, trust, and personalization.
We’re looking for a Data/AI Engineer who can own everything from data pipelines and BI dashboards to ML prototyping and optimization algorithms . This is a high-autonomy, high-impact role for someone who loves working across data, product, and AI.
What You’ll Do
- Design and maintain data pipelines from backend systems (Postgres, Redis, Firebase) into analytics and reporting layers.
- Build dashboards and reports (Metabase, Looker, Tableau, or similar) to monitor platform KPIs such as performance, efficiency, and user engagement.
- Model and optimize geospatial queries (PostGIS, Redis GEO) to support location-based functionality at scale.
- Prototype AI/ML algorithms for:
- Ranking and prioritization tasks
- Route optimization and efficiency scoring
- Trust scoring, anomaly detection, and risk modeling
- Collaborate with the backend team to instrument APIs for analytics and ML-ready data collection.
- Document findings, experiments, and recommendations to guide product and technical decisions .
- Help establish the groundwork for future ML pipelines (training, deployment, monitoring).
You’re a Great Fit If You:
- Have 5+ years of experience in data engineering, BI, or applied machine learning.
- Strong in SQL/Postgres (ideally with PostGIS), data modeling, and pipelines.
- Comfortable with Redis and real-time event systems.
- Hands-on with Python (Pandas, scikit-learn, PyTorch/TensorFlow) .
- Able to build quick dashboards (Metabase, Looker, Power BI, or Firebase Analytics).
- Familiar with routing/geospatial data or excited to learn.
- Understand ranking/recommendation models and event-driven architecture.
- Thrive in a startup environment : independent, resourceful, execution-focused.
Compensation
- First 3 months: Unpaid, flexible contributor role (mentorship-driven).
- After 3 months: Equity-based role, based on performance and contribution.
- Future: Salary + equity once funding/revenue milestones are achieved.
Why Join?
- Be the first data/AI engineer on the team — own data strategy end to end.
- Influence the product roadmap with data-driven insights and ML prototypes .
- Build a real-world system where your work directly impacts people’s lives.
- Work fully remote, async, outcome-driven .
- Gain equity and long-term upside in a purpose-driven company.
How to Apply
Send your GitHub/portfolio/LinkedIn and a short note about your experience with data + AI. If you have past projects related to geospatial data, matching, or optimization, we’d love to see them.
About FutureNexus Labs Inc.
FutureNexus Labs Inc. pioneers innovative solutions at the intersection of technology, research, and collaboration. We drive forward-thinking initiatives, leveraging cutting-edge technologies to shape a brighter tomorrow. Through our interdisciplinary approach, we create meaningful connections and transformative impact in today's rapidly evolving landscape.