Applied Scientist, Ranking & Recommendations
Core
Build and lead the evolution of Relay's recommender systems to match thousands of couriers to delivery routes, balancing preferences against physical network constraints and economics.
Role type
Senior Applied Scientist (Recommender Systems & Operations Research)
Builds
Large-scale recommender systems powering courier-route matching and delivery optimization
Domain
Logistics, Operations Research, Machine Learning
Deliverable
production ML models
Required skills
Recommender systems, Reinforcement learning, LLMs, Combinatorial optimization, Causal inference, Location intelligence, Experimentation design, Production ML ownership, System architecture
Preferred skills
PhD in CS/Math/OR, Publications in top-tier venues, Experience with large-scale network optimization
Technologies
Machine learning frameworks, Optimization solvers, Data analysis tools
Responsibilities
Set the standard for recommender systems at Relay, Lead the evolution of the recommender from research to production, Design and build recommender systems for key decisions, Partner with Operational Research to unite models and optimization, Contribute to Relay's research culture
Seniority
Senior, hands-on IC with leadership responsibilities
