AI & ML Engineer Volunteer

Responsibilities

Research & Development of Route Intelligence

• Research algorithms, papers, existing systems and technologies for intelligent routing, optimization, ETA prediction and logistics intelligence.
• They should be expected to investigate and prototype things they have not previously built.

Build the Route Intelligence Engine

• Develop the core system that receives origin, destination, vehicle profile, constraints and objectives and produces optimized routes and alternatives.

Develop ETA & Travel-Time Prediction

• Build models that estimate travel duration and arrival time using traffic, historical trips, road conditions and other available data.

Develop Traffic & Geospatial Intelligence

• Work with road-network data, map matching, geographic data, traffic information and location normalization.
• The PRD specifically separates this into geospatial and traffic intelligence layers.

Build Route Scoring & Recommendation Systems

• Develop methods for comparing candidate routes based on travel time, reliability, traffic, distance, constraints and enterprise preferences.
• The system should ultimately explain why a route was recommended, rather than simply returning a route.

Develop Predictive Logistics Intelligence

• Research and eventually build predictive ETA, route reliability, delay-risk prediction, anomaly detection and dynamic route recommendations.
• These are explicitly identified as future intelligence layers in the PRD.

Design the Data & Machine-Learning Pipeline

• Determine what data Yspace needs to collect, clean and structure.
• Build pipelines for historical routes, predicted vs. actual travel times, traffic conditions and route outcomes so models can continuously improve.

Experiment, Prototype & Validate

• Build experimental models and prototypes before production implementation.
• Benchmark Yspace’s approach against existing routing providers and algorithms, measure accuracy/latency, run simulations and document what works and what doesn’t.

Integrate External Routing/Map Technologies

• Research and integrate providers such as mapping, traffic and routing infrastructure where appropriate.
• The PRD specifically recommends using third-party infrastructure initially rather than attempting to build the entire global road network from scratch.

Own the Evolution of Yspace Intelligence

• Continuously research new approaches in AI, optimization, geospatial computing and autonomous logistics.
• Turn successful research into production systems and progressively move Yspace from foundational routing → routing intelligence → data collection → predictive intelligence → autonomous recommendations.