Intern Machine Learning Engineering for Supply Chain (f/m/x) (Munich, BY, DE, 80809)

<p><b>THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.</b></p> <p><b>SHARE YOUR PASSION.</b></p> <p>World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.</p> <p><strong> </strong></p> <p>Our Material Steering departments at the BMW Group order over 31 million parts daily to enable our 30+ production locations to build more than 2.5 million vehicles per year. We are revolutionizing our supply chain operations through cutting-edge machine learning and AI engineering, developing models for natural language to SQL conversion, voice-to-text transformation, automated code documentation, and supply chain risk assessment.</p> <p> </p> <p><strong>What awaits you?</strong></p> <ul> <li>You will support collecting, preprocessing, and analyzing large datasets to extract meaningful insights that drive supply chain improvements.</li> <li>Furthermore, you help design, implement, and validate machine learning models to predict supply chain trends, optimize logistics, and improve operational efficiency.</li> <li>In addition, you contribute to developing algorithms and systems for automating reporting tasks, reducing manual effort and minimizing errors.</li> <li>Moreover, you will assist in working with cross-functional teams, including data engineers, supply chain experts, and IT professionals, to ensure seamless integration of ML solutions.</li> </ul> <p> </p> <p><strong>What should you bring along?</strong></p> <ul> <li>Studies in Data Science, Computer Science, Engineering, Mathematics or a related field (Master's degree).</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Experience with data analysis tools and libraries such as Pandas, NumPy, Matplotlib, Scikit-Learn.</li> <li>Familiarity with machine learning frameworks such as TensorFlow or PyTorch.</li> <li>Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.</li> <li>Knowledge of SQL and experience with database management.</li> <li>Excellent written and verbal communication skills in English.</li> </ul> <p> </p> <p>Would you like to shape the future of supply chain digitalization with machine learning and make a tangible impact? Then Apply now!</p> <p> </p> <p><strong>What do we offer?</strong></p> <ul> <li>Comprehensive mentoring &amp; onboarding.</li> <li>Personal &amp; professional development.</li> <li>Flexible working hours.</li> <li>Mobile work.</li> <li>Attractive &amp; fair compensation.</li> <li>Apartments for students (subject to availability &amp; only at the Munich location).</li> <li>And much more, see <u><a href="https://www.bmwgroup.jobs/de/en/about-us/benefits/benefits-students.html">bmw.jobs/whatweoffer</a></u></li> </ul> <p> </p> <p><strong>Start date: </strong>earliest start 09/01/2026</p> <p><strong>Duration: </strong>6 months</p> <p><strong>Working hours: </strong>Full-time</p> <p> </p> <p>You can find helpful tips on your application and the application process <a href="https://www.bmwgroup.jobs/de/en/jobs/apply.html">here</a>.</p> <p> </p> <p>At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more <a href="https://www.bmwgroup.jobs/de/en/about-us/diversity.html">here</a>.</p>