Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.
Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

Senior-level experience building and deploying machine learning models in production environments.
Experience designing scalable data pipelines and working with large datasets.
Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).
Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.
Familiarity with MLOps practices and tools is a plus.

We're a profitable, rapidly growing company
We care deeply about building great products
We invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

Machine Learning Engineer

Key skills