Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Stuttgart, Berlin, Karlsruhe, Ulm
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you support the development of multimodal models for audio and vision by creating high-quality datasets, managing training pipelines, and applying modern techniques for fine-tuning existing models.
Job Technologies
Your role in the team
- As a working student (m/f/x) in machine learning engineering, you support the team in further developing large language models (LLMs) into multimodal models for audio and vision applications.
- You research, create, and prepare high-quality multimodal data sets for the training and further development of the models.
- You also support the creation and management of data, training and evaluation pipelines in the cloud.
- In the fine-tuning of existing base models, such as Qwen, you appear on multimodal and capability-specific data.
- In doing so, you deal with modern approaches such as RAG, tool calling, and agent behavior and support their use and further development.
- In addition, you work together with experienced developers from different disciplines in an agile product development team and actively contribute your ideas.
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Our expectations of you
Qualifications
- If you prove to impress us with excellent German and English language skills and your complete application (cover letter, curriculum vitae, overview of grades, enrollment certificate and, where applicable, residence permit/work permit) are available, you're just a click away from your chance.
- You study computer science, data science, artificial intelligence, machine learning or a comparable course of study.
- You understand how large language models work and are trained, and you'll be interested in their further development and practical application.
- Good written and spoken German and English round off your profile.
Experience
- You will bring experience in software development with Python as well as in training deep learning and machine learning models.
- Ideally, you will already have some practical experience of creating data sets, such as data preprocessing, filtering or augmentation, or programming LLM-supported applications.
- Experience with cloud development and platforms such as Databricks or Azure is an advantage.
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What we offer
- To ensure that there is still enough free time in addition to studying and working, you will receive a pro-rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly.
- In coordination with your team and your contact person, you also have the opportunity to work remotely.
- In addition, almost all of our positions are suitable for part-time work.
- You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start.
- Of course, you benefit from an attractive salary.
- At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect. Flat hierarchies, an appreciative atmosphere, openness, and open-mindedness are part of our daily work.
- In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person.
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Benefits
Work-Life-Integration
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Mercedes-Benz Tech Innovation GmbH
Berlin
We started out in 1998 as a small but ambitious development team. Today, we are a successful IT company and a reliable strategic business partner of Daimler AG. We help our customers overcome the challenges of the future by offering them tailored comprehensive solutions. Our continuous growth has allowed us to become a company that is sympathetic to its employees and provides them with ample opportunity for individual development.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)Engineering
2.8Career Growth
3.4Culture
3.5Workingconditions
4.4
Working student Machine Learning Engineering
- Location
- Stuttgart, Berlin, Karlsruhe, Ulm
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
