Engineering Manager, Machine Learning and Data Science
Posted Updated 11
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Summary
Leads sennder's Machine Learning & Data Science team applying AI to its digital freight platform: managing and coaching data scientists/ML engineers, driving AI adoption, and turning prototypes into production ML like pricing and recommender systems. Stack includes Python, SQL, Snowflake, AWS, Airflow/Flyte, TensorFlow/PyTorch, and LangChain.
About sennder Logistics is one of the best possible use cases for AI, and unlike most of our peers, we own the full loop: the platform, the operations, and the data connecting them. That closed feedback loop is a compounding advantage most competitors can’t replicate. This role exists to turn that advantage into sennder’s sharpest edge in margin, cost, and service, because AI will give us that edge if we lead, or become a risk if we lag. Role Overview As the Engineering Manager for our Machine …