Apply graph learning, transformers, and ranking at Jobber as a Staff Data Scientist building production machine learning systems for automated decisions.Reporting to the Manager, Data Science, this senior individual contributor owns models and systems inside Jobber’s product. You will work with SignalGraph, RAG systems, real-time serving, and high-velocity SaaS, scheduling, payments, and text data.Key Responsibilities:

Build and maintain SignalGraph metric contracts, catalogs, and diagnosticsDesign and evaluate retrieval-augmented generation systemsOwn training, serving, monitoring, drift detection, and retrainingEstablish systematic evaluation and regression testing standardsShape MLOps, feature-store, and machine-learning engineering practicesRequirements:

End-to-end production machine learning experienceStrong statistics foundation and expert SQLProduction-grade Python skillsHands-on transformers, deep learning, ranking, and representation learningExperience with RAG, context management, and production LLM systemsLead trustworthy applied machine learning at Jobber through graph methods, evaluation, production systems, and technical mentorship.

📌 Staff Applied Machine Learning Scientist (Winnipeg)
🏢 Jobber
📍 Winnipeg