Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative ML/AI solutions and collaborate on optimizing data annotation and agentic platforms for advanced automotive technology products.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- It is mandatory to be enrolled in a university for the entire employment period.
Qualifications
- 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.
- Vertrautheit mit agentic Plattformen, großen Sprachmodellen (LLMs) oder verwandten Konzepten der KI-Produktentwicklung.
- Knowledge of challenges and constraints within the automotive domain.
- Native or near-native knowledge in other languages.
Experience
- 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.
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What we offer
- 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 the Spree.
- Flexible working hours.
- Hybrid working culture.
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Benefits
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Health, Fitness & Fun
Higher Take-Home Pay
- 🚙Company Car
- 🍰Employee Stock Option
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
MBition GmbH
MBition, by Mercedes-Benz, brings the automotive industry into the future. How? We are developing a new generation of infotainment platforms that are reusable and hardware independent and their implementation in our current vehicle lines. We are designing the user interface that future drivers will interact with when they are in their car, planning their trip or deciding what music to listen to.
Description
- Founding Year
- 2017
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Working Student AI/ML & Data Science
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
