Applied machine learning and production systems define this Staff Data Scientist role at Jobber, where models serve product decisions in real time.Reporting to the Manager, Data Science, you will own automated decisioning models and systems. You will apply graph representation learning, transformers, ranking, and retrieval-augmented generation. The work spans training, evaluation, serving, monitoring, drift detection, and retraining. You will help make ML systems trusted, measurable, and reliable.Key Responsibilities: Train and evaluate graph, transformer, ranking, and representation learning modelsBuild RAG systems with reliable retrieval and context managementOwn production training, serving, monitoring, drift detection,



and retrainingEstablish evaluation and regression testing for model qualityAdvance Signal Graph and its Neo4j and refresh pipelinesRequirements: End-to-end production ML experience serving real usersStrong statistics foundation, including bias, variance, and loss functionsExpert SQL and production-grade Python skillsHands-on deep learning, transformers, RNN, CNN, ranking, and LLMsExperience with large-scale data platforms and cloud infrastructureBring production ML, statistical reasoning, and contemporary model expertise to Jobber’s applied machine learning systems.#J-18808-Ljbffr

📌 Staff Applied Machine Learning Scientist (Edmonton)
🏢 Avenue.io
📍 Edmonton