Arrive AI · 3 weeks ago
PhD Operations Research Specialist
Fishers, IN
Full-time
Onsite
Mid, Senior Level
3+ years expArrive AI is transforming the future of the Autonomous Last Mile™ with innovative logistics solutions. The PhD Operations Research Specialist will design and optimize the mathematical models and algorithms that enhance the efficiency and scalability of the autonomous delivery network.
Computer Software
Responsibilities
Model Complex Operations: Develop optimization and decision models for core ALM challenges:
Multi-modal routing and scheduling for drones, robots, and couriers
Inventory positioning and dynamic stocking for Arrive Points across a region
Marketplace balancing for multiple delivery partners, customers, and services
Capacity allocation and real-time dispatch for mixed fleets
Design Algorithms for Scale: Create algorithms for large-scale combinatorial problems (e.g., vehicle routing, stochastic demand planning, facility location)
Integrate OR + AI: Collaborate with data scientists and AI engineers to combine predictive models (e.g., demand forecasts) with prescriptive optimization for actionable decisions
Simulate & Validate: Use digital twins and scenario simulations to test optimization strategies against real-world constraints (weather, traffic, service-level targets)
Optimize Trade-Offs: Develop models that balance cost, speed, carbon footprint, and service reliability to align with business and regulatory goals
Provide Strategic Insights: Translate modeling results into roadmaps and decision frameworks for product managers, engineers, and leadership
Collaborate Cross-Functionally: Work closely with engineering, robotics, and product teams to ensure models are practical, implementable, and drive measurable improvement
Qualification
Required
PhD in Operations Research, Industrial Engineering, Applied Math, or a related field
3+ years of experience applying OR in real-world systems (logistics, transportation, supply chain, or marketplaces)
Deep knowledge of linear, integer, stochastic, and network optimization, plus familiarity with routing, scheduling, and facility location problems
Proficiency in Python, Julia, or similar, with hands-on experience using optimization libraries (CPLEX, Gurobi, OR-Tools)
Understanding of how machine learning and AI (e.g., demand prediction, clustering, reinforcement learning) can be integrated into optimization workflows
Ability to formulate new problems, explore trade-offs, and craft algorithms that deliver practical impact
Skilled at working with multidisciplinary teams —turning abstract math into concrete, scalable systems
Thrives in a fast-paced, exploratory environment where new constraints and opportunities emerge rapidly
Preferred
Exposure to multi-modal logistics, autonomous systems, or marketplace modeling is a big plus
Benefits
High equity incentive
Company
Arrive AI
Arrive AI is a pioneer in mailbox-as-a-service (MaaS), providing secure, seamless delivery and pickup infrastructure for the last inch of the autonomous last mile.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Todd Pepmeier
Chief Financial Officer
Mark Hamm
COO
Company data provided by crunchbase