Learn by doing, together: Exchange code reviews with senior ML engineers, discuss modeling decisions, and learn how production ML actually works in a fast-moving startup. As a working student, you'll develop and ship features end to end, learn from experienced engineers, and see your work make a visible difference. * Proprietary ML systems, not off-the-shelf magic: Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge. * Work closely with experienced engineers who care about design, scalability, and quality
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