Job
- Level
- Junior
- Job Feld
- Software, Data
- Anstellung
- Teilzeit
- Vertragsart
- Praktikum / Schulpraktikum
- Ort
- Stuttgart, Berlin, Karlsruhe, Ulm
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle unterstützt du die Entwicklung multimodaler Modelle für Audio und Vision, indem du hochwertige Datensätze erstellst, zunehmende Pipelines betreust und moderne Techniken zur Feinabstimmung bestehender Modelle anwendest.
Job Technologien
Deine Rolle im 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 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.
Unsere Erwartungen an dich
Qualifikationen
- If you prove to impress us with excellent German and English language skills and your complete application (covering 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.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Mercedes-Benz Tech Innovation GmbH
Berlin
Wir sind die IT-Spezialisten der Daimler AG und kümmern uns um zukunftsweisende Gesamtlösungen. 1998 als kleines Team gestartet, sind wir heute ein sympathisches Unternehmen im permanenten Wachstum.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.5
Engineering
2.8Career Growth
3.4Culture
3.5Workingconditions
4.4
Working student Machine Learning Engineering
- Ort
- Stuttgart, Berlin, Karlsruhe, Ulm
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
