Auf einen Blick
- Aufgaben: Join us to tackle machine learning challenges in vehicle development and data protection.
- Arbeitgeber: IAV is a leading engineering partner in the automotive industry, focused on innovation and technology.
- Mitarbeitervorteile: Earn €17.52/hour with potential increases; enjoy a dynamic team environment and hands-on experience.
- Warum dieser Job: Work on cutting-edge AI projects while collaborating with diverse experts in a supportive culture.
- Gewünschte Qualifikationen: Must be studying computer science or related field; Python skills and cloud engineering experience preferred.
- Andere Informationen: Diversity and equal opportunity are core values; we welcome unique talents and perspectives.
This challenge awaits you:
Vehicles in current development without imaging sensor technology are almost impossible to find. Countless driver assistance functions are based on the initial recognition of signs and other road users (cars, bicycles, pedestrians, etc.). Of course, the legal requirements for data protection must also be observed during the development of these functions or when integrating new sensor technology into the vehicle. Pseudonymization and anonymization of personal data are therefore an essential part of the development chain. Software as a service solutions also offer interesting use cases here.
You will work in a dynamic and heterogeneous team consisting of development engineers, specialists, and students from different disciplines across various IAV locations. In order to reach our goal as quickly as possible, we would like to attract you, your IT and cloud expertise, and your great commitment and open mindset.
Your Tasks:
- Data engineering (data preparation, labeling, clustering)
- Training, verification, and validation of AI models
- Setting up and configuring a cloud solution
Necessary Skills:
- Ongoing studies in the field of computer science, computer engineering, or a comparable course of study
- Initial experience in the field of cloud engineering
- Programming skills in Python
- Very good German and good written and spoken English skills
Desired Skills:
- Enthusiasm for complex issues and their presentation as well as clean preparation
- Initiative and ability to work in a team
We look forward to receiving your application including cover letter, CV, current performance record, and relevant references.
Remuneration is based on our collective wage and salary agreement. The current hourly rate for this position is EUR 17.52 – from February 2025 the hourly rate will be EUR 18.10. The internship is remunerated with a monthly salary of EUR 979 – from February 2025 the monthly salary will be EUR 1,012.
Diversity and equal opportunity are important to us. What matters to us is the individual, with his or her character and strengths.
Location: Heimsheim
In Heimsheim, our accredited test center for electromagnetic compatibility (EMC) offers state-of-the-art measurement and testing technology for EMC testing and measurements in the field of vehicle as well as component development. In the coming months, our Heimsheim site will be expanded by a building complex for up to 370 workplaces and will thus enrich the automotive dominated southwest. In direct proximity to our customers and partners.
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Internship / Working Student – Machine Learning Object Recognition and Alienation Arbeitgeber: IAV GmbH
Kontaktperson:
IAV GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Internship / Working Student – Machine Learning Object Recognition and Alienation
✨Tip Number 1
Make sure to familiarize yourself with the latest trends in machine learning, especially in object recognition. Understanding how these technologies are applied in driver assistance systems will give you a significant edge during discussions with our team.
✨Tip Number 2
Brush up on your cloud engineering skills, particularly in setting up and configuring cloud solutions. Being able to demonstrate practical knowledge in this area can set you apart from other candidates.
✨Tip Number 3
Since teamwork is crucial for this role, think of examples from your past experiences where you successfully collaborated with others. Be ready to share these stories during your interview to showcase your initiative and team spirit.
✨Tip Number 4
Given the importance of data protection in our work, familiarize yourself with concepts like pseudonymization and anonymization. Showing that you understand these legal requirements will demonstrate your commitment to responsible development practices.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Internship / Working Student – Machine Learning Object Recognition and Alienation
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and skills required for the internship. Highlight your relevant experiences in your application.
Craft a Tailored Cover Letter: Write a cover letter that specifically addresses the tasks mentioned in the job description, such as data engineering and AI model validation. Show your enthusiasm for the role and how your background aligns with their needs.
Highlight Relevant Skills: In your CV, emphasize your programming skills in Python and any experience you have with cloud engineering. Mention your ongoing studies in computer science or related fields to demonstrate your qualifications.
Proofread Your Application: Before submitting, carefully proofread your cover letter and CV for any grammatical errors or typos. Ensure that your German and English language skills are clearly presented, as they are important for this position.
Wie du dich auf ein Vorstellungsgespräch bei IAV GmbH vorbereitest
✨Show Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning and object recognition during the interview. Share any relevant projects or experiences that demonstrate your interest and commitment to this field.
✨Highlight Your Cloud Engineering Skills
Since cloud engineering is a key part of the role, be prepared to discuss your experience with cloud solutions. Mention specific tools or platforms you have worked with and how they relate to the tasks outlined in the job description.
✨Demonstrate Teamwork and Initiative
The company values teamwork and initiative, so be ready to provide examples of how you've successfully collaborated with others on projects. Highlight situations where you took the lead or contributed significantly to a team effort.
✨Prepare for Technical Questions
Expect technical questions related to data engineering, AI model training, and programming in Python. Brush up on these topics and be ready to explain your thought process and problem-solving approach clearly.