Working Student Data Science in Driver Assistance Systems (f/m/div.)
Location
Leonberg | Germany
Job description
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- As our working student, you will support us with various machine learning, data analysis and data engineering tasks in the field of autonomous parking.
- Your daily tasks will include training and exploring deep learning models on tabular data, designing Azure ML pipelines, and creating and managing datasets.
- Last but not least, you will work with and support the Machine Learning team.
Qualifications
- Education: studies in the field of Computer Science, Data Science, Machine Learning or comparable
- Experience and Knowledge: basic knowledge of data analysis with Python and/or Julia, machine learning, deep learning, TensorFlow or PyTorch and software engineering
- Personality and Working Practice: attentive, solution-oriented, knowledgeable team player with organizational skills
- Enthusiasm: strong interest and essential background in machine learning, data analysis, Python development, and a passion for solving real-world problems with data-driven approaches
- Languages: business fluent inGerman and/or English
Additional Information
Start: according to prior agreement
Duration: 6 months – 10 h/week
Requirement for this working student position is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Dr. Maximus Mutschler (Functional Department)
+49 173 392 9475
#LI-DNI
Summary
- Type: Part-time
- Function: Engineering
Job tags
Salary