Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
About the role
- Intern supporting analysis of vehicle data and development of Machine Learning models at BMW Group. Focusing on strategies for improving driving efficiency and climate control behavior.
Responsibilities
- You will support the analysis of vehicle data with a focus on driving and climate-control behavior to identify efficiency potential.
- You will assist in developing and evaluating machine learning models to detect patterns and opportunities to optimize driving behavior.
- You will contribute to data preparation, selecting suitable algorithms, and building prototypes aimed at improving efficiency.
- You will help validate developed models using real vehicle data and comprehensively document the results.
- You will collaborate closely with experienced colleagues from the Efficient Dynamics team and gain valuable insights into innovative vehicle technologies.
Requirements
- Studying Computer Science, Software Engineering, Data Science, Electrical Engineering, or a comparable degree program.
- Strong knowledge of machine learning, ideally with practical experience in time-series analysis or behavior-modeling algorithms.
- Experience in programming and relevant ML frameworks (e.g., Python, TensorFlow).
- Interest in vehicle technology, sustainability, and efficiency optimization.
- Analytical thinking and a structured working approach.
- Good communication and teamwork skills.
- Very good German and English language skills.
Benefits
- Comprehensive mentoring & onboarding.
- Personal and professional development opportunities.
- Flexible working hours.
- Remote/mobile working.
- Attractive and fair compensation.
- Student apartments (subject to availability & only at the Munich location).
Job title
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