Working Student Machine Learning Engineer (f / m / d)

Hey! We’re Delicious Data 👋

We build AI that helps bakeries and food businesses plan perfectly, so they waste less, earn more, and serve with pride.

You’ll join a small, focused engineering team in Munich that values clear thinking, craftsmanship, and real-world impact. Our developers come from diverse backgrounds, from research and data science to large-scale production systems, and share a simple principle : build things that work beautifully.

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.

Tasks

• Real forecasting at real scale : Work with time series data from thousands of stores, thousands of products, and years of history totalling over 1 billion records.
• 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.
• From research to production : You’ll help bring models into production, monitor their performance, analyze failure modes, and iterate based on real customer behavior.
• Food waste, quantified : Your work directly reduces overproduction and saves tons of food every day, with measurable impact beyond the hype.
• 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.

Requirements

Benefits

Ready to build Delicious Data with us? We’re excited to hear from you.

We are a Munich-based AI company helping food businesses plan perfectly. Our platform combines predictive analytics and automation to reduce waste and improve efficiency in kitchens and bakeries.

By turning data into action, we make sustainability and profitability go hand in hand.