Job
- Level
- Junior
- Job Feld
- Data
- Anstellung
- Teilzeit
- Vertragsart
- Praktikum / Schulpraktikum
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du innovative ML/AI-Lösungen und arbeitest an der Optimierung von Datenannotation und Agentic-Plattformen für fortschrittliche Produkte im Bereich Fahrzeugtechnologie.
Job Technologien
Deine Rolle im Team
- As a Working Student in AI/ML/Data Science at Mercedes-Benz, you will dive into cutting-edge projects that harness the power of artificial intelligence and machine learning to shape the future of our products and services.
- You will be an integral part of a dynamic, cross-functional team, collaborating with experts in Data Science, Machine Learning Engineering, and Product Development.
- Your role will involve applying your robust understanding of ML/AI fundamentals to practical challenges, potentially focusing on critical areas such as advanced data annotation, the development or enhancement of agentic platform products, or other innovative AI/ML initiatives.
- Contribute to the design, implementation, and optimization of data annotation strategies for diverse AI/ML datasets.
- Assist in the development, testing, and refinement of agentic platform components, machine learning models, or related AI-driven features.
- Apply your strong grasp of machine learning and artificial intelligence fundamentals to analyze complex data, uncover insights, and propose innovative solutions.
- Collaborate closely with team members to integrate AI/ML solutions into existing systems or new product functionalities.
- Research and evaluate state-of-the-art AI/ML techniques, tools, and methodologies relevant to ongoing and future projects.
Unsere Erwartungen an dich
Ausbildung
- It is mandatory to be enrolled in a university for the entire employment period.
Qualifikationen
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a comparable qualification.
- Strong understanding of machine learning and artificial intelligence fundamentals (e.g., supervised/unsupervised learning, deep learning, natural language processing, reinforcement learning).
- English is the working language, german is good to have.
- You are based in or near Berlin.
- Familiarity with agentic platforms, large language models (LLMs), or related AI product development concepts.
- Knowledge of challenges and constraints within the automotive domain.
- Native or near-native knowledge in other languages.
Erfahrung
- Experience with data annotation processes, tools, or quality assurance for AI/ML datasets.
- Proven experience with version control systems (preferably Git).
- Experience in user research or user-centric design principles.
Unser Angebot
- A chance to work on a new generation of Infotainment Systems, which will power millions of cars.
- An international, interdisciplinary software hub, which is part of Mercedes Benz AG.
- Great company values that we are passionate about and live by every day at work.
- Agile working methods and open feedback culture.
- A brand new modern and fully accessible office facing to Spree.
- Flexible working hours.
- Hybrid working culture.
Benefits
Work-Life-Integration
- 🚌Gute Anbindung
- 🐕Tiere willkommen
- 🏠Home Office
- 🍼Kinderbetreuung
- 🅿️Mitarbeiterparkplatz
- ⏰Flexible Arbeitszeiten
Gesundheit, Fitness & Fun
Mehr Netto
- 🚙Firmenauto
- 🍰Mitarbeiterbeteiligung
- 📱Handy zur Privatnutzung
- 🛍Mitarbeitervergünstigungen
- 👴🏻Betr. Altersvorsorge
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
MBition GmbH
MBition, von Mercedes-Benz, bringt die Automobilindustrie in die Zukunft. Wie? Wir entwickeln eine neue Generation an Infotainment-Plattformen, die wiederverwendbar und hardwareunabhängig sind, sowie deren Implementierung in unsere aktuellen Fahrzeuglinien. Wir gestalten die Benutzerschnittstelle, mit der zukünftige Fahrer interagieren werden, wenn sie in ihrem Auto sitzen, ihre Reise planen oder entscheiden möchten, welche Musik sie hören möchten.
Description
- Gründungsjahr
- 2017
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Working Student AI/ML & Data Science
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
