Working Student Machine Learning Engineer (f/m/d)
<p>Hey! We’re Delicious Data 👋</p>
<p>We build AI that helps bakeries and food businesses plan perfectly, so they waste less, earn more, and serve with pride.</p>
<p>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.</p>
<p>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.</p>
<h2>Tasks</h2>
<ul>
<li><strong>Real forecasting at real scale:</strong> Work with time series data from thousands of stores, thousands of products, and years of history totalling over 1 billion records.</li>
<li><strong>Proprietary ML systems, not off-the-shelf magic:</strong> Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge.</li>
<li><strong>From research to production:</strong> You’ll help bring models into production, monitor their performance, analyze failure modes, and iterate based on real customer behavior.</li>
<li><strong>Food waste, quantified:</strong> Your work directly reduces overproduction and saves tons of food every day, with measurable impact beyond the hype.</li>
<li><strong>Learn by doing, together:</strong> Exchange code reviews with senior ML engineers, discuss modeling decisions, and learn how production ML actually works in a fast-moving startup.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>You are enrolled in CS or a related program at a university in Bavaria</li>
<li>You are available 20 hours per week and can work with us onsite in Munich</li>
<li>You have practical experience with timeseries data and forecasting problems</li>
<li>Tools like Pandas, scikit-learn, Pytorch are second nature to you</li>
<li>You are passionate about your work and love to collaborate with others</li>
<li>You enjoy writing clean, maintainable code and care about performance and usability</li>
<li>You can communicate clearly in English (C1 level)</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Work closely with experienced engineers who care about design, scalability, and quality</li>
<li>Apply state of the art ML research</li>
<li>Learn how to build production ready ML models</li>
<li>A great office at the Sendlinger Tor</li>
<li>Awesome team events, good coffee, and a culture that prizes clean code, feedback, and collaboration</li>
<li>Strong long-term perspective: Many of our full-time team members started as working students</li>
</ul>
<p>Ready to build Delicious Data with us? We’re excited to hear from you.</p>
<p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>
<p>We build AI that helps bakeries and food businesses plan perfectly, so they waste less, earn more, and serve with pride.</p>
<p>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.</p>
<p>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.</p>
<h2>Tasks</h2>
<ul>
<li><strong>Real forecasting at real scale:</strong> Work with time series data from thousands of stores, thousands of products, and years of history totalling over 1 billion records.</li>
<li><strong>Proprietary ML systems, not off-the-shelf magic:</strong> Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge.</li>
<li><strong>From research to production:</strong> You’ll help bring models into production, monitor their performance, analyze failure modes, and iterate based on real customer behavior.</li>
<li><strong>Food waste, quantified:</strong> Your work directly reduces overproduction and saves tons of food every day, with measurable impact beyond the hype.</li>
<li><strong>Learn by doing, together:</strong> Exchange code reviews with senior ML engineers, discuss modeling decisions, and learn how production ML actually works in a fast-moving startup.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>You are enrolled in CS or a related program at a university in Bavaria</li>
<li>You are available 20 hours per week and can work with us onsite in Munich</li>
<li>You have practical experience with timeseries data and forecasting problems</li>
<li>Tools like Pandas, scikit-learn, Pytorch are second nature to you</li>
<li>You are passionate about your work and love to collaborate with others</li>
<li>You enjoy writing clean, maintainable code and care about performance and usability</li>
<li>You can communicate clearly in English (C1 level)</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Work closely with experienced engineers who care about design, scalability, and quality</li>
<li>Apply state of the art ML research</li>
<li>Learn how to build production ready ML models</li>
<li>A great office at the Sendlinger Tor</li>
<li>Awesome team events, good coffee, and a culture that prizes clean code, feedback, and collaboration</li>
<li>Strong long-term perspective: Many of our full-time team members started as working students</li>
</ul>
<p>Ready to build Delicious Data with us? We’re excited to hear from you.</p>
<p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>