Intern Machine Learning, Recommender Systems
BMW Group
internship
Posted on:
Location Type: Office
Location: Munich • Germany
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Job Level
Tech Stack
About the role
- Support in developing personalized recommender systems for in-vehicle customer features, including testing in real vehicles with a focus on user experience.
- Contributing to the further development of existing machine learning models in Python, particularly by integrating contextual data and personalization for individual user experiences.
- Assisting in the analysis and comparison of machine learning models and large language models to implement innovative, user-centered vehicle features such as intelligent charging or parking search.
- Bringing forward your own ideas to improve data-driven methods for user profiles, situation models, and recommendation systems.
Requirements
- Currently studying Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience with machine learning and, ideally, large language models.
- Strong knowledge of Python, including relevant libraries such as pandas, scikit-learn, and similar tools.
- Familiarity with fundamental concepts of artificial intelligence and their practical applications.
- Ideally, experience with AWS or comparable cloud services.
- Optional: Experience in projects focusing on user-centered design, personalization, or data-driven services.
- Good German and English language skills.
Benefits
- Comprehensive mentoring and onboarding.
- Personal and professional development.
- Flexible working hours.
- Remote work.
- Attractive and fair compensation.
- Student apartments (subject to availability & only at the Munich location).
- And much more — see bmw.jobs/waswirbieten
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonlarge language modelsdata-driven methodsuser profilessituation modelsrecommendation systemsuser-centered designpersonalizationartificial intelligence
Soft Skills
user experienceanalytical skillscreativitycommunicationcollaboration