Principal Machine Learning Scientist, Recommender Systems
Core
Design and build recommender systems that power Relay's key decisions, balancing thousands of couriers' preferences against physical network constraints and economics.
Role type
Principal Machine Learning Scientist (Recommender Systems)
Builds
Large-scale optimisation systems for courier-work matching
Domain
Logistics / Operations Research / Machine Learning
Deliverable
production ML models
Required skills
recommender systems, reinforcement learning, LLMs, operational research, causal inference, location intelligence, experimentation design
Preferred skills
PhD, publications, experience at the frontier in industry
Technologies
(none explicitly listed)
Responsibilities
Set the standard for recommender systems at Relay; Lead the evolution of Relay's recommender from research to production; Partner with Operational Research to unite recommender models and optimisation; Contribute to Relay's research culture
Seniority
Principal, strategy & mentorship
